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industry partners in the department of the same name to further develop LPBF for a wide range of industrial applications – from new machine concepts and innovative process strategies to the processing
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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isolate and functionally characterize natural product biosynthetic gene clusters via a combination of bioinformatic tools, genetic engineering and chemical analyses. Candidate’s profile: Master’s degree in
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science, biostatistics, bioinformatics, epidemiology, public health or a closely related field, has an excellent academic record with a focus on quantitative methods and the ambition to earn a doctoral
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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process strategies to the processing of demanding materials. Additive manufacturing processes have long been an integral part of modern production. However, their full potential is far from being exhausted
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America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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on contemporary contestations of the liberal script from historical, global, and comparative perspectives with a particular interest in global and transregional processes. Apart from social science approaches, we