47 phd-in-architecture-and-built-environment Postdoctoral positions at Pennsylvania State University
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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organizational, time management and communication skills and the ability to work in an interdisciplinary team environment in support of the goals of in-house research and external users of the 2DCC. Position
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End Date: June 30, 2025 Expected Start Date: August 1, 2025 preferred but negotiable. Eligibility: PhD prepared Nurses (or related field) within two years of degree completion preferred. Demonstrated
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, 2021, 12 (1): 1956. Doi: 10.1038/s41467-021-22095-2); Li et al., 2020. NAR, 48(6): 3119-3133. Candidates should have obtained a PhD or an MD/PhD degree in the fields of molecular biology, biochemistry
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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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development of models that capture the kinetics of point defects and their interaction with electronic charge carriers under various conditions, including electric fields and irradiation environments. Key
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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to mentoring both undergraduate and graduate students; willingness to develop courses and teach in online environments; commitment to working effectively with individuals of diverse backgrounds; commitment
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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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universities. Experience in effective student mentoring. Dedication to ensuring a respectful, equitable and inclusive work environment. Experience with finite element analysis and design optimization preferred