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Field
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Chair offers: A stimulating research environment at one of Europe’s leading universities Close collaboration in
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Manufacturing and testing of battery electrodes and battery cells Directing a team of technicians and PhD students and collaboration within a highly motivated team in an international environment Collaboration
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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Research FieldEngineering » Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications To acquire further scientific qualification (habilitation), the job holder should be able to cover a
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research network on the topics of the project Your profile: PhD in Sociology or a related discipline, completed or nearing completion Strong research interest in the field of economic inequality Interest in
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frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly efficient for it
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PhD in Plant Science, Plant Ecology or equivalent, have experience with designing and analyzing large-scale greenhouse experiments and publishing the results in peer-reviewed journals. Understanding