21 computer-science-quantum-phd-student Postdoctoral positions at Pennsylvania State University
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PhD degree in Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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and Applications (CCMA). Successful candidates will engage in research in all or any of the areas of scientific computing, data science, and quantum information science. Appointed candidates will
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and contribute to grant development Present findings at laboratory meetings and national/international conferences Mentor graduate students and junior trainees as appropriate Required Qualifications PhD
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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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or research career. Qualifications: PhD (or MD/PhD) in cancer biology, immunology, molecular biology, genetics, or a related field. Strong background in one or more relevant research areas (Pharmacology, Drug
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of designing hypothesis-based experiments, executing studies, and preparing manuscripts. Requires a PhD in Biochemistry or related field; significant experience in molecular biology, biochemistry, and mouse
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. Qualifications PhD, MD, or MD/PhD in genetics, stem cell biology, molecular biology, biomedical engineering, or related discipline. Experience in iPSC culture and differentiation. Experience with genome editing