54 computational-mathematics-phd Postdoctoral positions at Pennsylvania State University
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, Robotics, Computer Vision, or related disciplines. Proven expertise and hands-on experience in one or more of the following areas: large language models (LLMs), end-to-end learning, AV localization
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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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. Candidates must have a PhD in MatSE and experience in developing phase-field models of microstructures and properties by start date. This term position is funded for one year from the date of hire with
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and
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to investigate iconicity in spoken language – the idea that the sound of a word may convey its meaning – in both neurotypical people and people with aphasia. The successful candidate will have a PhD in a relevant
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resonance spectroscopy applied to investigate post-translational modifications of intrinsically disordered proteins. The position requires a PhD in chemistry with a focus on spectroscopy applied
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project management. This position requires a PhD in nematology (preferred), forestry, plant pathology, microbiology, microbial ecology, or a related field. Competitive candidates must have significant
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, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine learning) or a directly related field at the time of appointment is required. The successful applicant
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize