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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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. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https
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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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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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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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skills (written and spoken) Independent and solution-oriented work ethic Interdisciplinary mindset and enthusiasm for teamwork Ability to work in a multi-cultural, multi-ethnic environment with sensitivity