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An advanced degree (master’s or doctoral) in a quantitative field, including but not limited to Computational Biology, Computer Science, Data Science, Applied Mathematics/Statistics, all relevant engineering and science disciplines.
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PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.
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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
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Preferably working toward a Master’s or Ph. D. degree in Physics, Applied Mathematics, Engineering, Bioengineering, or a related field. As part of our mission, CPP is developing cutting-edge computational tools and accurate anatomical models as we develop a computational fluid dynamics simulation of the central nervous system.
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A master's degree in engineering, physics, applied mathematics, or a physical science with six months or more experience in modeling low frequency electromagnetic applications based on numerical methods, such as the finite element method or similar.
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The Board Certified Behavior Analyst (BCBA) provides development and direct supervision of Applied Behavior Analysis (ABA) programming in the district. Familiarity with curriculum development, Language Arts, Mathematics and Content Area knowledge base and facility with modifying curriculum to align with the Massachusetts Curriculum Frameworks and Assessment System.
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Bachelors degree in computer science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, or related technical discipline. Training or work experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning.
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A PhD degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with a focus on machine learning and deep learning.
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A bachelor’s degree in a related field (e.g., Data Science, Statistics, Computer Science, Applied Mathematics, Economics). 5+ years of experience in statistical programming/analyses (e.g., SAS, SPSS, Stata, Python, R, or MATLAB.
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SPARC aims to advance the state of the art in the areas of computational and applied mathematics while integrating proven research into operational tools and products that are leveraged by government agencies to help achieve their mission.
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PhD in Bioinformatics, Biostatistics, Computer Science, Computational Biology, Genetics, Mathematics, Physics, Statistics or other related discipline. The candidate should have a solid foundation in applied statistics, deep generative models, computational biology, molecular biology paired with a strong work ethic and the ability to work independently and in highly matrixed teams.
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A Ph. D. in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 5+ years of equivalent experience. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, linguistics and physics.
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PhD in a subject area with a significant component of analysis and quantitation, such as systems biology, quantitative pharmacology, pharmacometrics, chemical engineering, physics, pharmaceutical sciences or applied mathematics with a minimum of 3 publications in peer reviewed journals.
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We are looking for applicants with an interest and background in algorithm development, applied engineering, prototype development and testing, and modeling and simulation to support the development and implementation of safety critical systems that will enable the integration of increasingly autonomous systems into the transportation system.
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Masters degree or PhD in Electrical Engineering, Applied Physics, or a closely related field with 12+ years of relevant experience. Experience with some or all of the following tools: HFSS, CST, Microwave Office, ADS FEKO, COMSOL, MATLAB/Simulink, Python, Mentor Graphics (or equivalent PCB design tool.
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applied mathematics algorithm jobs in Lexington, MA
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