78 software-formal-method-phd Postdoctoral positions at Pennsylvania State University
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. Spiegelman, MD, PhD E-mail: [email protected] BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with
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training in genomics and computational approaches. Education and Experience Applicants should hold a PhD in neuroscience, genetics, psychology, biology, or a related field, with demonstrated expertise in
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experience with biochemical assays assessing biomolecular interactions. Experience with bacterial genetics and molecular cloning is expected. Applicants must hold a PhD in microbiology or equivalent life
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. Eligibility: PhD prepared Nurses (or related field) within two years of degree completion preferred. Demonstrated commitment to scholarship in aging, geriatrics and/or gerontology. Applicant's area of interest
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work should demonstrate a strong focus on developing methods and workflows for mass spectrometry imaging, particularly as applied to single cells, tissues, or organoids. Expertise in post-acquisition
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. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES data sets or other large-scale
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, HELIX, Tigress, LZ, Project8, IceCube, GRAND, and Swift. Penn State also has leading theoretical groups in particle astrophysics, gravitation, and cosmology. A PhD in Physics, Astrophysics, or a related
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compliance with local policies and safety guidelines Qualifications: A PhD in the Biomedical Sciences or related discipline by appointment start date BACKGROUND CHECKS/CLEARANCES Employment with the University
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must hold a PhD and demonstrate strong expertise in advanced NMR spectroscopy and protein chemistry, including molecular cloning, protein expression, and purification. Experience with biophysical
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expected to analyze the data collected and present the results in formal presentations, manuscripts, and grant applications. Specific criteria include: Effective knowledge - Knowledge of lab practices and