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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science InternSan Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern.
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Build up Flare’s cheminformatics and machine learning capabilities which will be applied in library design, hit identification, prioritization and hit-to-lead progression and help advance our lead optimization projects towards the clinic.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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The successful candidate should have a high degree of proficiency in Python (or other scientific programming), machine learning libraries, Cheminformatics tools, and cloud computing and be responsible for developing complex workflows to support the selection, design and optimization of peptide modalities and formulations.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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Childcare experience required Employee Benefits Paid Time Off (PTO), Paid Holidays, and wage increases Drive time and mileage reimbursement Paid Registered Behavior Technician (RBT) certification training Job Duties Deliver direct Applied Behavior Analysis (ABA) treatment services to children diagnosed with Autism, conducting sessions in various settings such as their homes, schools, or within the community.
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The Mathematics Teacher needs to remain in regular contact (through face-to-face meetings, e-mail, by phone, and, occasionally in writing) with parents/guardians regarding student progress communication information about behavior of students, academic performance, and other issues as they arise on a daily basis.
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MS or Ph. D. in computational biology, chemical engineering, data-science, operations research, applied mathematics, or other relevant fields. You will play an integral role on their team, with the development and deployment of fit-for-purpose models for simulation in pertinence to cell culture and fermentation processes.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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Ph. D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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