152 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"FEMTO-ST"-"Dr"-"CSIRO" positions in Switzerland
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histological datasets. Programming skills in languages such as R and/or Python. Experience with colorectal cancer research is an advantage. Ability to work independently and collaboratively in a fast-paced
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acknowledge care work, part-time employment, or career breaks and consider applications proposing joint research in job-sharing. With its early-career fellowship program, the Collegium nurtures an environment
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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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, Robotics, or related field requirements for the position: Solid knowledge of machine learning, particularly for time series analysis and event detection Solid programming skills in C#, C++, or .NET-based
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environment more than adequately. Also, we believe in having our employees share in the success of the company. Our employee share plan Roche Connect enables you to purchase shares at a 20% discount. It is
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite