273 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Stanford University in United States
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computational resources for data analysis, and also provide the opportunity to collaborate with Stanford Data Science, the Center for Decoding the Universe, the SLAC theory group, and a number of other cross
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available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics and
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, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up
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generation technologies Preparing quarterly and final reports for research grants Writing research proposals, peer-reviewed publications, and other program activities. Advising and mentoring students
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Assistant Professor, Department of Environmental Social Sciences (Environmental Behavioral Sciences)
interested in applicants who could teach computational social science for sustainability. Candidates must possess a PhD, JD, or terminal degree in a field relevant to the search by the time of the appointment
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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
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exhibit a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in statistics, data science, computer science, mathematics, or a related discipline at the time of appointment
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Assistant Professor, Department of Environmental Social Sciences (Environmental Behavioral Sciences)
movements, organizations/networks, collective action, political economy, population science. We are also interested in applicants who could teach computational social science for sustainability. Candidates
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use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40
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world-class faculty and researchers who develop and employ cutting-edge technologies --from molecular to computational approaches-- to tackle fundamental questions in genetics. We foster a collaborative