23 genetic-algorithm-computer Postdoctoral positions at Pennsylvania State University
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the position of Postdoctoral Research Scientists – Plant Genetic Improvement to conduct research on genetic improvement of Theobroma cacao , the chocolate tree as part of an interdisciplinary team. We seek
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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 experience are also
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computers or atomic-physics platforms, and quantum algorithms for quantum many-body physics. A PhD in Physics is required. The ideal candidate will have numerical simulation skills with exact diagonalization
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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines
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significant experimental training in molecular biology and biochemistry are required. Experience in genetic mouse models, murine fracture models, and obesity or diabetes murine models is a must. Experience in
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. Experience in genetic mouse models, bone biology, obesity or diabetes murine models, immunology, or bioinformatics is a plus. Dr. Elbarbary’s lab is a part of the Center for Orthopaedic Research and
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-tenure track, term, Postdoctoral appointments are committed for three years with a contract renewal occurring each year. Duties for this position include research and teaching. The Chowla program is
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researchers. Applicants should expect to perform the tasks required to generate peer-reviewed manuscripts and abstracts accepted to regional/scientific conferences during the training/research program
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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data