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mathematics, computational sciences, or a related field. Additionally, you have prior programming experience and are fluent in English (oral and written). You show enthusiasm for conducting original research in
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Mathematics, Statistics, Physics, or other quantitative discipline Solid programming skills Fluency in both spoken and written English is mandatory Ideal Qualifications Experience with deep learning frameworks
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principles of microbial ecology. The project involves techniques of sequencing and bioinformatic analysis, isolation, cultivation, and characterization of anaerobic microorganisms, as well as mathematical
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practical experience in setting up classical, molecular simulations and to possess excellent skills in physical chemistry and its mathematical foundations. Prior programming experience and good communication
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14 Mar 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 10 Jun 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 41 Is the job funded...
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11 Feb 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Other Researcher Profile First Stage Researcher (R1) Country Switzerland Application
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machine learning The ability to work both independently and as part of a team Outstanding MSc degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a related field
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degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in Mathematics, Statistics, Physics, or other quantitative discipline
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to the operation of the group and the Institute Profile You ideally have a Master’s Degree in engineering, mathematics, computer science, or related fields. You are highly motivated, and determined, and you have
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foundation in mathematics, physics, data analysis, and strong programming skills (Python, Matlab, C/C++, or equivalent). Capable / keen to develop and implement SAR signal-processing algorithms in such a