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management, geography, environmental psychology, or a related field Knowledge of qualitative and/or quantitative social science methods Strong interest in inter- and transdisciplinary research as well as in
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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal
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Central Institutions Back Welcome to the Botanical Garden Dr. Eberle Zentrum für digitale Kompetenzen University Sports Center Knowledge Media Research Center (IKM) Isotopenlabor & Strahlenschutz Tübingen
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at PTB Braunschweig. For this purpose, a double ground-space-ground laser link Wettzell - ISS and ISS - Potsdam, combined with a fibre link Potsdam - Braunschweig, will be implemented. The latter is
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as Autodesk, ALLPLAN, ANSYS, REVIT, Tekla, Rhino, Grasshopper, etc. Basic knowledge in the areas of signal
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-DYNA, ANSYS, etc. Willingness to participate in experimental tests. Basic knowledge of seismic hazard analyses, international earthquake standards and dynamic analyses is desirable. You are fluent in
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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degree of independence and commitment Very reliable and conscientious style of working Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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/Qualifications Master’s degree in Hydrology, Environmental Sciences, Geoinformatics, Engineering or related fields Knowledge of flood hazard and risk modelling Strong programming skills in Fortran, Python, R