37 high-performance-computing-postdoc positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Germany
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Herz Programme seeks Postdocs from countries that are underrepresented in the Humboldt Postdoc fellowships. For this reason, we are looking for a talented researcher from Japan! Especially female
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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, teaching within the Bachelor and Master Program of the department. The position offers the opportunity to acquire your own third-party funded projects and to obtain a postdoctoral qualification (Habilitation
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RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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and Supply Chain Management, has been selected as a Henriette Herz Scout by the Alexander von Humboldt Foundation. He can recruit up to three postdocs or early career researchers from abroad with
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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up to 5 to postdoctoral researchers each year. Duration prospective leaders: 1 year postdocs: 12-24 months Scholarship Value a monthly fellowship of 2,200 EUR, 2,500 EUR or 2,700 EUR in the programme
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data