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Field
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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and peers across Europe, gain exposure to diverse academic and professional environments, and engage actively in dissemination, workshops, and scientific communication. Where to apply Website https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 hour ago
39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation
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variables, both historic and future, is also an essential ingredient to move past the rear-mirror approach of standard classical forecasting methods. The project will focus on the use of transformer based
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development of wide bandgap device-based integrated motor drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
solutions to help move the world forward. We do this with 23,300 students and 5,400 employees across 5 regional locations, 6 faculties, and more than 70 research institutes. We encourage you to push
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. An existing team with expertise and drive to move forward synthetic biology in cancer immunotherapy. A well-structured on-boarding process and clear responsibilities. A highly professional and supportive
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Degree Dr rer nat Course location München In cooperation with Find out about the participating research groups here: https://www.lsm.bio.lmu.de/faculty/current-members/index.html Teaching language
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or TOEFL Submit application to https://www.grk2338.med.uni-muenchen.de Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set
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Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state