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doctorate (PhD, or MD, or MD,PhD) degree in medicine or life sciences/biology is required. Prior experience working in animal models, animal surgery, molecular biology techniques such as cloning, cell culture
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, contribute to the lab through teamwork and discussion and help to train, supervise, and mentor junior trainees. Minimum qualifications include: • PhD in molecular or cell biology, immunology, cancer biology
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lab can be found here: https://clinicalnlp.org/. Qualifications and Skills: • A PhD in computer science, information science, informatics, biomedical informatics, or related field. • Strong knowledge
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, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired. How to Apply: Candidates who have most, but not all
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. These studies leverage the tremendous success in the identification of IBD-associated genetic risk loci to define key pathways that regulate intestinal immune homeostasis and drive intestinal inflammation
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), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working knowledge of reinforcement learning are also required. Familiarity with standard software development tools
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with tensor networks, AI in physics and materials, etc.). A Ph.D. in Physics or a closely related field is required. The initial appointment will be for one year, and is renewable for another one or two
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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in academia, the private sector or government. QUALIFICATIONS: · MD, PhD, ScD, DrPH, MPH or MSc (required) · Proven analytical experience in population genetics, computational biology
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independence, long-term career advancement, and the development of an intramural and extramural academic network tailored to the candidate’s interests. This fellowship will allow candidates to develop, or expand