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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - Prof. Rohit Karnik and Prof. Zachary Smith, to work on experimental measurements, process design, and techno-economic analysis
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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implementation, literature reviews, data collection and management, qualitative and quantitative data analysis, development and evaluation of research measures, interpretation of research findings, and
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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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, membrane integrity) Develop or adapt image analysis and quantification pipelines with AI support to handle screen-scale data Follow up on screening hits to identify their molecular target or mechanism
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22 Aug 2026 Job Information Organisation/Company CNRS Department Institut de l'Ouest : Droit et Europe Research Field Sociology Juridical sciences Criminology Researcher Profile Recognised
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
research related to the current research topics of the department, based on the analysis of SO/PHI data Your qualification PhD (or soon to be expected PhD) in solar physics or a closely related field
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industry. You will continuously characterise NC batches for a shared sample bank, build a reference database and use AI-supported data analysis to compare qualities and identify deviations. The work is
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Bayesian statistical frameworks. Develop innovative statistical methodologies related to clinical trial design, variable selection in high-dimensional data, prediction of clinical outcomes, and meta-analysis