16 estimation-methods "https:" "Computer Vision Center" Fellowship positions in Sweden
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental
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, with joint academic–industrial supervision Data-driven life science is a field of research that utilizes data, computational methods, and artificial intelligence to investigate biological systems and
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of the methods for the different case study workshop in collaboration with the other consortium members and tailor it to the needs of the various stakeholders. They will be responsible for the analysis of results
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in chemistry, physics and biology methods and concepts required to resolve the dynamic organisation of glycocalyces. The project will establish a new level of understanding of how glycocalyces perform
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missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic
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system and its repurposing into a tool for genome editing, a method developed at Umeå University that was awarded the 2020 Nobel Prize in Chemistry. The host lab is located within the cross-disciplinary
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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methods and sample-preparation strategies; (iii) interpretable multivariate or ML models for classification and feature discovery; and (iv) high-impact publications and open, reusable analysis workflows
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for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:907631/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD