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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
protein (FAP) as an emerging target for molecular imaging and/or cancer therapy, this project aims to develop and optimize bioconjugation and radiolabeling methods for computationally designed miniproteins
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dedicated to building an inclusive community of scholars with an array of experiences, perspectives, and methods and welcomes a diverse pool of applicants. Terms Each year, five or six Academy Scholars
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series of drug combinations that have now become an indispensable component of the standard treatment regime. More about Jesús San Miguel Jesús San Miguel (born Almarza, Spain, 1953) is an inspirational
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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addition to these allowances, the grantee will be covered by personal accident insurance. Selection procedure: The selection methods to be used are as follows: Relevance of research work published by the candidate in
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been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop essentially new methods
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together