49 finite-element-analysis Postdoctoral positions at Stanford University in United States
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electrophysiology. We are seeking a postdoctoral researcher to lead the neuroimaging component of a longitudinal, pediatric drug trial in Neurofibromatosis type 1 (NF1). In this role, you will acquire and analyze
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factor in human reproduction, as implantation failure remains a major reason for IVF treatment failure and early pregnancy loss. You will work at the interface of the Molè and Qiu labs as the lead
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a team of multidisciplinary
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. SURI has active research in urban and regional scale risk analysis, multi-hazard risk analysis, modeling human impacts and post-disaster recovery process, and utilization of novel technologies to enhance
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experimental retinal biology, with strong mentorship and career development support. Primary Responsibilities Research and Experimental Work • Perform and lead bioinformatic analysis of single-cell RNA
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for leading scientific projects, including design and execution of experiments, analysis and presentation of data as well as contribution to manuscript, report and grant preparation. The candidate will also be
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, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis are encouraged to apply. The position is available
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-country partners, conducting rigorous data analysis, and contributing to the development of actionable insights for policy and program improvement. The start date is Fall 2025. This is a full-time (100% FTE
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patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial