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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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Essential Criteria: Qualifications A good first degree in Computer Science, Machine Learning, Maths and Statistics, Robotics or a related subject. A PhD (or an MSc with extensive research experience) in
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geometric analysis. This will be a research-focused position, although there could also be opportunities for teaching and other pedagogical activities, including involvement with the Math CoOp and the SEAM
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the laboratory research team and may exercise functional supervision over supporting research staff. QUALIFICATIONS Ph.D. or equivalent required in Physics, Biophysics, Math, Chemistry, or Computer Science; be
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publications; good oral and written communication skills. Knowledge/Skills/Abilities Experience in programming in python and C++/Fortran, symbolic math software (e.g. Maple, MATLAB), and writing research papers
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platform Collaborating with interdisciplinary neuroscience, engineering, applied maths and data science, computational and clinical rehabilitation teams. Your profile: Training in neuroscience, electrical
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. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: A PhD or equivalent experience in engineering, the physical sciences, or applied math. Experience
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date is flexible, with a goal of early to mid 2024. Minimum Qualifications: Education and Experience: A Ph.D. or equivalent experience in engineering, the physical sciences, or applied math. Significant