292 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Stanford University
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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scientists. Candidates with experience in prototyping, optical instrumentation, image processing, or translational device development are particularly encouraged to apply. Required Qualifications: PhD in
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applicant should have an MD or MD/ PhD with board certification/ eligibility in Vascular Surgery. Demonstrated expertise in clinical or translational vascular research is expected, with an emphasis
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research program, contribute to the teaching mission of the department at both the undergraduate and graduate levels, and advise Ph.D. students. Stanford offers an exceptional environment
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research and education and are proud of the outstanding students and staff who make this work possible. The Classics community is comprised of 18 tenure-line, academic council faculty, three lecturers, PhD
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expected to fulfill. Academic rank and line will be determined by the qualifications and experience of the successful candidate. The successful MD, MD/PhD, PsyD or PhD applicant should have board
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students and staff who make this work possible. The Classics community is comprised of 20 tenure-line, academic council faculty, three lecturers, PhD students, and undergraduate majors and minors
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen