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of your name and the code “Postdoc_PB3_25.1” (e.g. “Max_Mustermann_Postdoc_PB3_25.1”). The application deadline is the 15th of June, 2025, 23:59:59. Unfortunately, application expenses cannot be reimbursed
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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extremes Reference code: 50141621_2 ? 2025/KS 2 Commencement date: as soon as possible Work location: Geesthacht Application deadline: June 18th, 2025 The department of Climate Extremes and Impacts
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coding skills, experience in managing and development of software projects is a plus Your application Please send your application (including a motivation letter, your CV, up to two representative
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms