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analysis, and infrared thermography. Industry-wise, the focus is on cooperation with companies from the automotive, aeronautic, and energy sectors. Our main location is in Garching near Munich. YOUR TASKS
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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. Qualification and Experience: You have a degree (Diploma, Master's) in physics, nuclear physics, radiochemistry, or a related field. Experience in operating complex experimental setups and using data analysis
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Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals
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multiple institutions, and more details can be found at the project website: Project Website: www.raicam.eu Eligibility Criteria • Not have resided or carried out your main activity (work, studies, etc.) in
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. The PhD project is part of an interdisciplinary collaboration with the University of Bayreuth (EASI lab, led by Prof. Dr. Lisa Hülsmann). Main responsibilities include joint field work to establish an in
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning
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architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
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including A-level, bachelor and master degrees, and a motivation letter detailing their interest and suitability for the position. Your tasks: The successful candidate will join the department “Novel Catalyst
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault