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Field
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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://bouchardlab.lbl.gov/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program. Additional
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year, with the possibility of renewal for a second year based on satisfactory progress as outlined in the scholar’s Individual Development Plan (IDP). The Computational Neuropsychology & Simulation (CNS
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the preparation, organization, and maintenance of the research worksite. Qualifications PhD in a biology-related field (cell, molecular, evolution, or closely related fields) Physical requirements may vary
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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multi-omic single-cell datasets, and developing novel statistical approaches to resolve repetitive element biology at high resolution. The successful candidate will operate at the interface
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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completing a PhD in a subject relevant to the project, which includes (but is not restricted to) statistical physics, biological physics, soft condensed matter physics, and fluid mechanics. The post is funded