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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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sciences / analysis, system or process engineering, or related fields with a subsequent doctorate Excellent knowledge of API programming and automation engineering such as LabVIEW and/or EPICS Advanced
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are currently stuck in academia and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
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. The team is located within the School of Computation, Information and Technology at the Technical University of Munich, an internationally renowned university with excellent connections to leading research
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expertise from a wide range of partners in academia and industry, with both application and system expertise. About us CAPS is part of TUM’s department of Computer Engineering, one of the leading CE
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and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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repairing damaged extracellular matrix and initiating cartilage healing. We combine our expertise in light-driven chemistry, protein chemistry, tissue engineering, and process engineering to develop a
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will