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continuous process. In particular, coating and drying processes and their effect on the membrane will be investigated experimentally with the aim of reducing production costs. What you will do Independent
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process optimization and model-based control. As the industry moves towards more individualized processes and products, a significant challenge is to enable accurate predictions with limited reference data
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scientific publications Your qualification profile Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound
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do Investigations into the reduction of the line width of laser beam sources Carrying out laboratory experiments Testing with models to determine physical relationships Increasing the performance
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | about 1 month ago
completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound knowledge in the field of machine learning, in particular deep
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ABOUT US Do you have any questions about the application process or the position? Please reach out to: Lennart Boudgoust (Talent Acquisition), [email protected] , Tel.:+49 30 2005-822056521 First
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in Computer or Data Science, Mechanical Engineering, Mathematics, Physics, Electrical and Information Engineering, or a related field – very good programming skills in Python – interest in topics
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bring to the table student in Computer or Data Science, Mathematics, Physics, Electrical and Information Engineering, or a related field strong background in the areas of Machine Learning, Deep Learning
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challenges in AI4EO and their application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and