13 phd-position-in-data-modeling Postdoctoral research jobs at Pennsylvania State University
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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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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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, techno-economic analysis, and/or life-cycle assessment. The postdoc will be working on a large team and will be expected to communicate across teams to integrate project-specific data into modeling
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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expected to communicate across teams to integrate project-specific data into modeling. The post-doc will lead projects, collaborate with graduate students and researchers from inside and outside Penn State
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Postdoctoral Position working on single molecule imaging and gene regulation One Postdoctoral Position is available in the lab of Dr. Manyu Du
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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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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability
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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