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Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS‑LEE project, we will use
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: an outstanding university degree (Master or equivalent) in physics, biophysics, biology, biochemistry or a related discipline experience with in vitro reconstitution systems is a plus ability to work in an
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data analysis, network analysis, or machine learning is a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in
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; The ability and desire to work in an international team on interdisciplinary research topics; Good proficiency in English, as this is the working language of the department. Knowledge of German is an advantage
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for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/tu-dresden/arbeiten-an-der-tud/stellenangebote
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Description The “Developmental Computational Psychiatry” lab and the W3 professorship “Computational Psychiatry” at the Dept. of Psychiatry and Psychotherapy, University Tübingen is led by Tobias
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an ability to combine perspectives and quantitative methods from multiple scientific traditions is essential to gain insights and make predictions for systems characterised by many degrees of freedom and
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the team, is required. We are looking for a competent, proactive personality with commitment and motivation, the ability to work independently, and enjoyment of teaching. As part of the application process
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letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76871
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the European energy transition while working with powerful energy system models within an international team of researchers? Then become part of our team at the Institute of Climate and Energy Systems - Jülich