11 phd-machine-learning Postdoctoral positions at University of Kansas Medical Center
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: Education: PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or related field Experience: Research experience using BSL-2 organisms This position requires a formal degree in the cited
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in relevant academic activities related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD
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be directly involved in data collection, design and development of codebooks, computer-assisted team analysis (e.g. Dedoose). Fellowship will provide the successful candidate with opportunity to engage
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that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible. Required Qualifications Education: PhD in cancer biology, molecular
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related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree
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the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and
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Education: PhD in cell biology, physiology, pharmacology, pathology or related fields. Preferred Qualifications Work Experience: Experience with small animal experimentation, genomics, tissue/cell culture
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activities related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal
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of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and
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, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457