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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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equations, numerical analysis, mathematicalmodels in biomedicine, biostatistics, machine learning, statistical learning, multivariate statistics, time series,mathematical modelling, generalized linear models
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and computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects
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for downstream research and UUV operations. Model-Data Integration, Validation, and Analysis – 15% Integrate physics-based model outputs with observational and operational environmental datasets. Evaluate model
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geometry of the space of deformations of Anosov representations, with a strong emphasis on positive ones and their relation with Geometric Analysis. Our goal is to use various techniques from geometric PDE
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics, Biomedical
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(minimum 80% FTE) Reporting to Professor Rachel Upthegrove, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified
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, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified Medicine Study and the Antidepressant for Prevention
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics
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degree in Civil, Mechanical, Automation/Electrical Engineering, Applied Mathematics/Mechanics, Computer Science or related areas. Demonstrated experience in one or more of the following areas (1) AI