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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers
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, Public Health, Pharmacy and Pharmacology or related fields Proven track record of publications in clinical statistics Proficiency in programming such as R and/or Python A good command of written and spoken
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with practical experience relevant to the role. You will have experience with Python and applied machine learning, particularly in relation to anomaly detection, behavioural analysis or time-series data. Practical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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pipelines and R, Python and/or command-line tools; a strong publication record appropriate to career stage, demonstrating scientific excellence and the ability to lead high-quality research through
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern