145 programming-"the"-"DAAD"-"IMPRS-ML"-"IDAEA-CSIC"-"U"-"Prof"-"UCL" positions in Switzerland
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detection, quantification, or catalogue analysis. Programming skills in Python; experience in scientific software development and C++ would be regarded positively. Familiarity with seismic data processing and
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of Directors and the Steering Committee, you will help plan and evaluate projects, monitor scientific progress and ensure alignment with the consortium's goals. You will lead the preparation of key documents
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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(MSc., M.Eng. or equivalent) in Computer Science or related field Requirements for the position: strong programming skills (C#, Unity3D, Python, JS) experience with interactive system prototyping, AR/VR
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friendly workplace. Therefore, we acknowledge care work, part-time employment, or career breaks and consider applications proposing joint research in job-sharing. With its early-career fellowship program
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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integration Experience with programming languages and exposure to real-time imaging analysis Strong teamwork and communication skills for interdisciplinary collaboration *Applicants who do not fully meet all
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running community programs across our industry and startup offerings, this person will be actively making things happen on the ground. You’ll help shape the future of AI entrepreneurship by translating
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with