457 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in Germany
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functions and components for controlling innovative devices in the field of measurement equipment Conceptualize, specify, and design the control of various RF modules Program microcontrollers Integrate
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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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. The fellowships are funded by the state of Lower Saxony and are part of a joint doctoral program with the state of Baden-Württemberg on the evolution of cultural modernity. Requirements for filling the positions
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data-processing and visualization workflows using Python. Be part of change Data Handling & Software Skills: You are proficient in manipulating raw measurement data using software tools and programming
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as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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, Electrical Engineering, or a related field Excellent programming skills in Python and extensive experience with common AI frameworks and libraries Proven expertise (e.g., through projects or publications) in
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 months ago
at the AEI in Potsdam, and they will have to enrol and receive their PhD degree from either the University of Potsdam or the Humboldt University in Berlin. The expected duration of the PhD program is three
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writing and formulating skills, ability to create Excel spreadsheets, WORD documents, and PowerPoint presentations Experience with common video conferencing programs (e. g., heiCONF, MS Teams, Zoom, WebEx
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to promote artistic cooperations with German host institutions. The scholarships are funded by
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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