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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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hold an MSc in electronics, computer engineering, or a closely related field. Required Qualification: Applicants must hold an MSc in electronics, computer engineering, or a closely related field. Strong
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Economics Mathematics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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, an MSc degree, working with human tissue or complex culture systems or contributing to scientific publications, would be advantageous. Benefits of working University employees enjoy 38 days’ paid holiday
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MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
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cooperation in the training of young neuroscientists. The IMPRS Mechanisms of Mental Function and Dysfunction (MMFD) offers a PhD programme for outstanding MSc graduates. For detailed information, please visit
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Eligibility Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting