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Field
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CONTEXT This postdoctoral position is part of the MEDIATION project (PPR-OCEAN, France 2030, PI L. Debreu), which aims, among other things, to develop methodological approaches that allow the level of model
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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of the postdoctoral contract. Practical experience with in vivo mouse experimentation is required. Experience with PDX models is strongly desirable. Experience with patient-derived tumor organoids is considered
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-sensing-and-modeling-of-the-cryosphere Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308033/postdoctoral-research-fel… Requirements Research FieldGeosciencesEducation LevelPhD
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Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary
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Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary
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patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to predict patient outcomes, treatment response, disease
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group (CMAT) at Hasselt University. Both groups focus strongly on numerical analysis and mathematical modelling. The prospective postdoctoral researcher will work in close collaboration with Carina
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monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment, working to strengthen Singapore’s national capabilities
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& BIOCHEMISTRY Location Code CHEMISTRY & BIOCHEMISTRY (02113A) Is this split and/or fully grant funded? Yes Duties and Responsibilities As a postdoctoral scholar at Dr. Pengfei Li’s lab, you will play an important