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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Principal Scientist, Protein Analytics & Biophysics-Target Binding Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value “decision support” solutions.
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This position is key for achieving the mission of the Computational Antigen Design: pioneering, testing and implementing innovative cutting-edge biological science and novel Structural Biology/Machine Learning technology solutions and concepts towards antigen design.
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Informatic, java, machine learning, photonics, programming, schematic, software, software engineer. PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning.
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We are looking for a proactive self-starter with extensive expertise in data operations at scale, a deep understanding of AI, chatbots, and large language models (LLMs), and a strong commitment to continuously enhancing our machine learning data pipelines and infrastructure.
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Qualifications Required: High school diploma or equivalent 2+ year of experience in machine shop setting including CNC programming and operation Fabrication / building experience working with hand and power tools Familiarity with basic PC office applications Preferred Certificate or higher in manufacturing technology or equivalent Proficiency with 3D CAD modeling software Additional Information Sponsorship: Indefinite U.S. work authorized individuals only.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience of applying computational biology and machine learning to disease understanding through human cohort and RCT omics data, preferably in disease areas with relevance to Novo Nordisk R&ED strategy.
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PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, or a related field. We are seeking an innovative, self-driven, and team-oriented Machine learning Scientist, with a passion for developing cutting-edge platforms at the intersection of AI/ML, biology, synthetic biology, and single-cell technologies.
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Background in data processing, statistics, biostatistics, data modeling, machine learning, or AI approaches (R, SAS, Python, or similar) is desired but not required. a global research project funded by the Foundation for the National Institute of Health (FNIH) and the National Institute of Mental Health (NIMH) to generate tools that will help develop early-stage treatments for individuals at risk for schizophrenia.
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machine learning jobs Title: nurse in Lexington, MA
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