38 finite-element-analysis Postdoctoral positions at Stony Brook University in United States
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analysis), and one or more of: CRISPR, microfluidics, next-generation sequencing experiments, or developing diagnostic technologies. Proficient in scientific writing. History of academic productivity and
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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(IRB), Radioactive Drug Research Committee (RDRC) and FDA Investigational New Drug (IND) approval, as well as PET analysis and outcome measures. Successful applicants will have a Ph.D. and/or M.D. degree
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(IRB), Radioactive Drug Research Committee (RDRC) and FDA Investigational New Drug (IND) approval, as well as PET analysis and outcome measures. Successful applicants will have a Ph.D. and/or M.D. degree
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ensure that all experiments are appropriately conducted following the policies and procedures of Stony Brook University. The research performed by the incumbent will focus on acquisition and analysis
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and