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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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on psychological predictors of ecologically sustainable behavior Evaluation and development of interventions for behavioral change in the area of ecologically sustainable behavior Support for ongoing research
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the 3-year PhD project. NEXTSTEP will train 36 young and enthusiastic researchers to exploit the unique and transversal capabilities of analytical research infrastructures in tackling the challenges
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bioinspired robotics. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterised by advanced autonomy for improving the ability of robots to interact
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) combine their expertise to fully develop, that is including sub-systems design and optimization, a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In this project, LMFA
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-enabled adaptation. The aim is to develop theoretically grounded yet practically deployable algorithms that allow multi-agent robotics to operate robustly in dynamic, uncertain, and interactive environments
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on the development, pathophysiology and control of the cardiovascular system as well as exploring causes, consequences and therapeutic approaches for cardiovascular diseases. The research spectrum of this programme
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extract far more information from EM measurements than ever before, creating new opportunities for fast, reliable, and quantitative non-destructive evaluation (NDE). This PhD is focused on developing
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https