59 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Pennsylvania State University
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students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of appointment is required
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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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. 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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, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning
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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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/machine learning and biomarker detection is a plus. The successful candidate will perform experiments and data analysis, assist with regulatory compliance, write follow-up grants, and disseminate findings
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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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