151 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions in Sweden
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work spans the entire production chain, from innovative material design and advanced processes to the characterization of materials and components. About the research project The project is an EU-level
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resources for your research. Project overview The project aims to explore new catalytic processes for CO₂ hydrogenation as part of CCU. The objective of the project is to develop novel catalysts
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research involving sampling and detailed characterization of lime and cement clinker products from electrified manufacturing processes. The position is full-time for two years, starting on November 1, 2025
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sampling and detailed characterization of lime and cement clinker products from electrified manufacturing processes. The position is full-time for two years, starting on November 1, 2025 or as agreed
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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with other parallel projects and industrial partners, which means that strong collaborative skills are necessary. The successful candidate is expected to be able to disseminate and communicate scientific
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effectively with research institutes, industry, colleagues and other stakeholders. The work requires initiative, independence and responsibility. The project interacts closely with other parallel projects and
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collaboration with leading industrial and academic partners within large-scale Horizon Europe initiatives, where LTU plays a key role in both technical development and scientific coordination. In parallel with
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relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc. software and parallel computing is required. Skills in data processing and visualizing the results