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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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for this purpose.Your tasks are: Requirements definition, survey and documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your
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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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of suitable process parameters for PBF techniques, and the comprehensive analysis and testing of the fabricated materials. Key responsibilities include: scientific work on the project topics, including support