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Familiarity with diverse imaging modalities (lightsheet microscopy, CT, ultrasound) is highly desirable Strong programming skills and experience with collaborative software development (e.g., Git) Excellent
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in
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ecophysiology. You must have good statistical skills, experience with fieldwork, and programming experience (e.g., in R or Python). A good standard of written and spoken English as well as a driver’s license are
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analysis, and programming Excellent communication and collaboration skills, with fluency in English (spoken and written) Preferred Qualifications (Not Mandatory): Background in satellite gravimetry, with
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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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complete by fall 2025) a PhD in engineering, have a strong technical background, and be proficient in programming. We welcome applications from researchers fresh out of their PhD or with up to one year of
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seminar series and maintains educational programs at the BSc and MS levels. The group is located at ETH’s central campus with access to high quality laboratory facilities. The Group Leader will be allocated
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must bring the following: you have a PhD degree or plan to complete one soon you are enthusiastic about pursuing an academic career you have skills and knowledge relevant to this advertised position you
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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