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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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member with a strong academic background, and an excellent Master’s degree in Computer Science, Mathematics, or a related field from a renowned university. You should be attracted by and proficient in one
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, electrical engineering, computational biology, or other relevant fields Proficient programming skills (Python) and software development/engineering experience Demonstrated experience developing open-source
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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more comprehensible for you. The Research Analytics Services group, hosted by the section Research Support Services and Acquisitions, is hiring a specialist in library and information science as team
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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excellent organizational skills (workshops, meetings, calls, etc.), exhibit exceptional communication skills both in person and in writing (English fluency is essential, German is a plus), and have the
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the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote