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)confinement in string-net models - Quantum field theory, lattice QCD To apply, please send your application via email with the title “PostDoc application” or “PhD application” to application@zachegroup.com
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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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bases and instruments in terms of their efficiency and incidence Applied game-theoretic modelling based on 1) and on numerical estimates of the benefits that potential donor countries derive from
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (accepting applications posted 2025/02/13) Position Description: Position Description
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
of the university hospitals in Germany. The group of Prof. Dr. med. Kaan Boztug at the Clinic of Pediatric Immunology and Rheumatology (Centre of Pediatric, University Hospital Bonn) offers a Postdoc position
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-fli.de ). The Research Group led by Prof. Dr. Dario Riccardo Valenzano is seeking a highly motivated Postdoc to join our team with a strong background in molecular biology, cell culture and animal
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world the access of African killifish as a laboratory model by training labs for killifish husbandry, developing and sharing husbandry protocols, sharing laboratory and wild-derived killifish strains and resources
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification