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Field
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities, multidisciplinary collaborations, and opportunities
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the Institute for Theory and Computation (ITC) at the Harvard-Smithsonian Center for Astrophysics. One of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We
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Researcher – Dr Luke Isbel’s Lab (https://researchers.adelaide.edu.au/profile/luke.isbel ) • Focus: Epigenetic regulation of gene expression using stem cell models and functional genomics • Requirements: PhD
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for pediatric diseases. Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have advanced our
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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longevity. Position Responsibilities: Measure molecular hallmarks of aging in experimental model systems of iterative T cell stimulation. Draft manuscripts. Present work at internal and external meetings
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are formed in bone-conduction. We perform intracochlear measurements of sound pressures and vibrations in human cadaveric ears. We develop circuit network models and finite element models to assist data
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 5 days ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling