Biosurveillance Scientist

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. Our Fundamental Alpha Research team is a small collaborative team working to create new alphas in a number of asset classes. Our Fundamental Alpha Researcher roles include the following: Fundamental Alpha Researcher You will focus on identifying and developing systematic, market-neutral trading signals based on your understanding of fundamental data, accounting, and financial analysis. You will collaborate with the Data and Strategy team to build a diverse set of predictive models.  Fundamental Alpha Researcher-LLM focus You will develop and refine LLM pipelines to extract insights from structured and unstructured fundamental data sets. The role offers a unique opportunity to work on cutting-edge technologies and algorithms that directly impact our investment strategies.  Key Responsibilities Leveraging fundamental data to formulate predictive, market-neutral signals Designing, implementing, and optimizing various machine learning models to parse data sets for fundamental alpha development  Collaborating with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Optimizing models using domain-specific data to enhance relevance and interpretability in a financial context Working with large-scale structured and unstructured data sets to develop robust feature pipelines for downstream use in alpha research Requirements BS/MS/PhD in any STEM field, finance, accounting, or related discipline Fluent with programming languages such as Python (and experienced with machine learning libraries such as PyTorch, TensorFlow, or HuggingFace Transformers) Interest in applying fundamental analysis in a systematic, model-driven context Knowledge of financial accounting and company fundamentals (CFA a plus) Background in quantitative finance is a plus, but not necessary Benefits Competitive salary plus bonus based on individual and company performance Collaborative, Casual, and friendly work environment PPO Health, dental and vision insurance premiums fully covered for you and your dependents Pre-tax commuter benefits Weekly company meals Trexquant is an Equal Opportunity Employer.

Environmental Works is currently hiring for an Experienced Underground Utility Locator for our Heating Oil Tank Department. The primary duties of an Underground Utility Locator will include: -Operate locating equipment including ground-penetrating radar (GPR), magnetic detectors, and pipe and cable tracers. -Accurately mark located objects, complete the necessary documentation, and take detailed photographs to assist our project managers and field staff with subsequent work. -Prepare reports documenting your daily findings and submit them to our customers. -Interface directly with our clients and their representatives while on a project site. -Cross-train with our Radon Mitigation department to assist with in-home radon testing as needed. An Experienced Underground Utility Locator is also someone who: -Has previous utility/underground tank locating experience (preferred but not required). -Strives to complete every job with a safety mindset, professionalism, and proficiency. -Brings excellence in customer service each day to increase our customer base and demonstrate our commitment to quality and safety. -Is a problem-solver by nature. -Has a growth mindset and is motivated to improve their technical and customer service skills. -Has a clean driving record and criminal background If you're a motivated individual with a passion for providing excellent service, join our dynamic team as an Underground Utility Locator where your skills will be appreciated amongst our family of employees APPLY NOW! Job Done Right is our Motto. Work Hard, Play Hard is our Culture. Job Type: Full-time Benefits: 401(k) 401(k) matching Dental insurance Health insurance Life insurance Opportunities for advancement Paid time off Parental leave Referral program Vision insurance

Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. About the team: Data Science is at the core of our offerings at Dstillery, and as a result all members of our Data Science team have the opportunity to make an impact on our company and the industry. The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. We focus on building high performing products for our clients with integrity and transparency, and we have a commitment to the development of privacy friendly solutions. As a Data Scientist on the Data Science Research team you will play a critical role in bringing new products to market.  Role: Prototype innovative ideas, conduct experiments, and iterate quickly to develop data-driven solutions for complex business challenges Independently work on end-to-end research projects while actively collaborating with a team of data scientists Present and promote results to internal stakeholders and external clients and partners. Support and improve existing data science products Analyze large, complex, and noisy datasets to extract actionable insights and support data-driven decision-making Design, implement and evaluate machine learning and statistical methods to perform exploratory data analysis, data storytelling and product development  Design and execute A/B tests and experiments to optimize product performance and maximize revenue growth Pursue patents where applicable Contribute to thought leadership in the community with presentations and publications   Qualifications: Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) -- or --  M.S. in computer science or statistics plus two years of professional experience. Experience using real data to solve real problems. Expertise in statistical modeling, machine learning, and fluency in the related technical tools.  Interest in applying machine learning to large datasets to solve business problems.  Knowledge of current large language model and generative AI tools and an interest in applying them to data products Excellent oral and written communication skills; comfort in a client-facing role. A track record in contributing to publications, presentations, external collaborations and service to the research community is a plus. Intermediate programming skills, we don't expect you to already be an expert in all the various technologies we use, but you should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL

About the Role: We are seeking a detail-oriented PLM Analyst with proven expertise in asbestos testing. The ideal candidate will bring hands-on experience in Polarized Light Microscopy (PLM) analysis of bulk asbestos samples and have formal training or certification in the field. Key Responsibilities: Perform asbestos analysis of bulk building materials using PLM in accordance with regulatory methods. Accurately identify and quantify asbestos fibers. Prepare and analyze samples with a high degree of precision and attention to detail. Document and report findings in compliance with laboratory quality assurance standards. Work independently or collaboratively within a laboratory team. Qualifications: Demonstrated experience conducting PLM asbestos analysis. Must have completed training through the McCrone Research Institute or hold documented approval/sign-off from another accredited laboratory. Strong attention to detail, analytical skills, and ability to maintain accurate records. Familiarity with applicable regulatory methods and quality control procedures. What We Offer: Flexible scheduling (full-time or part-time opportunities available). Competitive compensation, commensurate with experience. Supportive team environment with opportunities for professional growth. Please send your resume and proof of qualifications to the email address below.

OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms—including AI Glass/Earphone/etc.—through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate vision, language, and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences. Requirements Key Responsibilities: Lead end-to-end research on generative AI models, focusing on vision-language or other multi-modal architectures Design and implement large language model (LLM) training pipelines and efficient inference strategies optimized for AI hardware Propose and implement AI features to enable new and smooth user experience on AI hardware Co-design model architectures and hardware primitives to maximize performance, power efficiency, and real-time responsiveness Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems Publish research findings in premier AI conferences (e.g., ICLR, CVPR) and represent OPPO at workshops and symposia Qualifications: Minimum: Ph.D. in Computer Science, Electrical Engineering, or a related discipline, with a focus on AI/ML Strong background in generative AI, with hands-on experience developing vision-language or other multimodal models Practical expertise in training and optimizing large language models for both cloud and edge inference Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed training systems Demonstrated track record of publishing in top-tier AI conferences (e.g., ICLR, CVPR, NeurIPS) or equivalent industrial R&D impact Excellent programming skills in Python and familiarity with C++/CUDA for performance-critical components Preferred: Experience with model distillation, large language model/vision-language model distillation Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

PARTICIPANTS NEEDED FOR A RESEARCH STUDY AT INDIANA UNIVERSITY SCHOOL OF MEDICINE (Psychiatry Department) We are conducting a 12-week clinical trial to see if the medication Guanfacine XR (an FDA approved drug used to treat ADHD) vs. a placebo (sugar pill) can help reduce alcohol craving and drinking. A potential subject: • Is 18 years or older • Struggles with alcohol use • Is Male or Female Click the link to complete the eligibility survey: https://redcap.link/axzyv6om Or call one of our Research Assistants @ 317-274-0851 or 317-274-0837 If Eligible, your participation will include: • Stop by for an in person visit to complete a physical & answer some questionnaires • Be randomly assigned to either guanfacine or placebo • Completing daily tasks (short surveys, urine screening, and medication intake) remotely • Attending 2 brief remote visits each week for 12 weeks In appreciation of your time you can receive up to $1,300 (based on participation) Principle Investigator: Helen Fox Ph.D. IRB #24432