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Field
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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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interdisciplinary doctoral programme of the Institute for Employment Research (IAB) and the School of Business, Economics and Society of Friedrich Alexander University Erlangen-Nuremberg. It is specialised in labour
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial
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. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial. What we offer: We offer a position with a
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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Your Job: The department of Electrocatalytic Interface Engineering, headed by Prof. Dr.-Ing. Simon Thiele, focuses on the development, characterization and testing of electrochemical systems from
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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publications in peer-reviewed journals and presentation at consortia meetings, national and international conferences, and workshops Your profile Essential qualifications: MSc degree in materials science