72 community-detection-cluster-phd Postdoctoral positions at Pennsylvania State University
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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journals and present at academic and professional conferences. Mentor graduate and undergraduate students, including guiding PhD students in their research. Collaborate with faculty and other researchers in
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(Luo et al., Blood , 2018, 132 (8): 837-848; Luo et al., 2019, Cancer Cell , 36: 645-659; Zeisig et al., Science Translational Medicine , 2021, 13 (482): eabc4822; Zhu et al., Nature Communications
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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/machine learning and biomarker detection is a plus. The successful candidate will perform experiments and data analysis, assist with regulatory compliance, write follow-up grants, and disseminate findings
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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and build computational interventional models for individuals. Required qualifications: MD or PhD (completed by start of employment) in computer science or behavioral science. A technical background is
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., miniscope neural recording, connectivity tracing) to examine circuit specific function in the brain. We are particularly looking for PhD level scientist with expertise in vascular biology. Expertise in
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits