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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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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Panda Intelligence is currently representing a novel oncology-focused Biotech with roots in MIT and one of the most prominent tech accelerators in the US, with the team currently seeking a Senior Computational Chemist with machine learning expertise ahead of advancing their AI-driven small molecule drug discovery pipeline.
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5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology. PhD in Computer Science, Physics, Mathematics, Bioinformatics, Machine Learning, Data Science, or relevant fields.
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Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras) Experience with machine learning, specifically in time series domains. Are you interested in tackling challenging, real-world problems using the latest techniques in human state assessment and machine learning.
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REQUIRED : Ph. D. in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; in-depth research knowledge/experience in one or more of the following: data-driven logistics/supply chain, supply chain analytics, statistical analysis and probability, and/or machine learning/artificial intelligence; publications.
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Additional desirable experience: Optical design, thermal control, electro-optic component test and evaluation, circuit theory, machine shop interaction, technical assembly, Excel, LabVIEW, MATLAB, ACAD, Mentor Graphics, Python, and GitLab.
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The Machining Manager is responsible for overseeing all machine shop personnel, and working to meet the company's expectations for safety, adherence to quality standards, and ensuring parts are manufactured according to the requirements of the production schedule cost-effectively.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
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Programming: Develop CNC programs for both vertical and horizontal lathes using machine controls and NX CAD/CAM software. We are currently seeking a Manufacturing Engineer with CNC Programming experience to join our team.
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Experience in Machine Learning / Artificial Intelligence algorithm clinical performance validation. An MD, PhD/MS Degree in Biomedical science, Epidemiology strongly preferred. 7+ years’ experience in clinical research/development/real world evidence (RWE) function; (medical devices preferred.
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It is expected that co-ops will contribute to projects that include electro-optical design, optical and thermal model development, materials testing, electrical system design, hardware assembly, test, and debug.
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The Senior Electrical Engineer. Collaborate with mechanical and controls engineers on electrical/thermal/packaging design, integration and testing. B.S. degree in Electrical Engineering or related field, industry experience is required.
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machine job Title: electrical engineer Company: Autodesk in Lexington, MA
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