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Field
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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assessment, demonstrating the impact of advanced process control on FGMs · Possible collaboration with ongoing research, including validation of numerical models, reduction of residual stresses through thermal
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
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employee, the staff member is entitled to numerous benefits associated with employment at KU Leuven (e.g., a wide range of free courses and training, bicycle and bicycle allowance, train subscription, etc
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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application is 1st of December 2025. Project description The project is focused on preparation of various carbon materials, including graphene related materials, optimized for application in sorption/separation
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Non-coding RNAs (ncRNAs) play a central role in gene expression regulation and in numerous cellular and molecular processes. Their dysregulation is implicated in various pathologies. This doctoral
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and simulation of PV systems and other offshore renewable energy technologies; hydrodynamic and fluid dynamic systems; programming and numerical modelling (e.g. Python, MATLAB); computational fluid