126 computer-science-programming-languages-"St"-"St" PhD positions at DAAD in Germany
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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Description As a humanistic, sustainable and action-oriented university, Leuphana University Lüneburg stands for innovation in education and science. Methodological diversity, interdisciplinary
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institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Inorganic Molecular Chemistry offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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international and the language is English (oral and written communication). Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49 (0)721 608 26906
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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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of transportation engineering, railway system engineering, civil engineering or related courses of study a working knowledge of industry-standard planning software a good command of German and English, both
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Description Fully funded (and no tuition) PhD program in genetic, molecular, cellular, circuit based Neuroscience and translational, clinical research in Psychiatry. There is the option for a
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partners at Princeton and Chicago Present findings at international conferences and co-author publications in high-impact journals Qualifications Master's degree in Physics/Physical Chemistry with excellent
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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) networks. Hydrology and Earth System Sciences, 22(11), 6005-6022. (2018). [2]. Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. Neural ordinary differential equations. Advances in Neural