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SEVERUS in silico modeling, with emphasis on performance, scalability, and reproducibility. Activities include engineering modular workflows in NEST (and ARBOR, if needed), profiling and optimizing
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publications, participating in conferences). Required skills: • Solid knowledge of heterogeneous catalysis, including the synthesis, physicochemical characterisation and catalytic evaluation of composite
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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/123 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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can be found at: https://www.kcl.ac.uk/mathematics About the role Applications are invited for a Lectureship in Applied Mathematics with a focus on quantitative modelling in the Department
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in practice conditions, will be modelled as event-like inputs that perturb the system and whose effects unfold over time. Time-independent predictors, including cognitive abilities, personality traits
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the integrative analysis of immunological, clinical, and omics data derived from clinical studies, with the goal of generating predictive models of vaccine-induced immune responses. The project requires expertise
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their knowledge. We work for tomorrow. Be part of it! Contact Univ.-Prof. DI Dr. Gundolf Haase gundolf.haase@uni-graz.at Where to apply Website https://jobs.uni-graz.at/en/jobs/75c83aac-d9a7-3a1b-0c1e-69aec4278713
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) and a global ocean model (NEMO). The selected candidate will contribute to the ANR-AIAI project (https://anr-aiai.github.io ). Scientific Context The melting of Antarctic ice shelves by the ocean is a
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field 1-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models Publication track record is an advantage Proficiency in basics