751 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions in Germany
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Working time: 39 hours per week Salary: E 15 TVöD Bund Place of work: Braunschweig Probation period: 6 months Closing date: 26.11.2025 Hu man M icrobe A lliance for Un iversal Health (HUMAN) program HUMAN
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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the development program for the superconducting linear accelerator HELIAC (HElmholtz LInear ACcelerator). HELIAC consists of a normal-conducting injector LINAC and a superconducting section comprising up to four
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administrations of Helmholtz Munich and TUM, external partners, and funding institutions worldwide. Plan, organize, and participate in scientific meetings and workshops in Munich and abroad. Review and edit
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developed and results What you contribute You are enrolled in a Master's program, e.g., computer science, electrical engineering, mechanical engineering, optics and photonics or a comparable field You have
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design them independently. Other tasks within the scope of the mandatory internship may include: Varied work in areas ranging from manufacturing to design and FE simulation to programming Working on CNC
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is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students to develop into creative, critical, responsible and
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Germany job ticket Our Corporate Health Management Program offers a holistic approach to your well-being Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career
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the use of mass spectrometry Experience in high-resolution fluorescence microscopy Very good knowledge in the application of statistical analysis procedures Basic knowledge in the use of programming
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machine learning for imaging, ideally in biomedical or histopathological contexts Strong programming skills and deep learning frameworks Familiarity with generative models (e.g., diffusion, GANs