36 engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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SPECIFICS Dr. Luis Ayala, Head of the John and Willie Leone Family Department of Energy and Mineral Engineering, and Dr. Zuleima Karpyn, EMS Associate Dean for Graduate Education and Research, invite
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SPECIFICS The Penn State College of Medicine, Division of Applied Biomedical Engineering in the Department of Surgery, in Hershey, PA, is seeking a highly driven post-doctoral scholar capable of joining
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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, 2019, Cell Reports, PMID: 31509745; Lin et al, 2019, EMBO Mol Med, PMID: 31633874, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be
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software engineering skills are also required. Most importantly we are looking for a clear scientific leader with tremendous capacity to advance the field. This position has ample opportunity for mentoring
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presentations. Provide support to graduate students within the department. Requirements: The Postdoctoral Researcher should possess a Ph.D. in hydrology, civil engineering, environmental science, or a closely
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, epidemiology or computer engineering discipline Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python Experience managing large databases (preferably healthcare data
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integrates movement neuroscience, biomechanics, engineering, and cognitive neuroscience. Research activities span the Department of Physical Medicine & Rehabilitation (PM&R) in the College of Medicine in
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mechanisms of cardiac arrhythmias. Our research integrates genetically engineered mouse models, cardiac electrophysiology, ion channel biology, and translational cardiovascular research to investigate how
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, engineering, or a closely related quantitative field. Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language. Ability to conduct independent