26 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Empa
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, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with foundation models , including the
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, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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/Electronics/Engineering or equivalent Experience: Acoustics (active, passive), laser processing Skills: R&D manufacturing, software development (machine communication, data acquisition, etc
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the ETH Domain. At Empa's Laboratory for Biointerfaces and Center for X-ray Analytics , we develop and characterize advanced nanosystems for biomedical applications. Combining expertise in
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-, and thermochromic molecular switches, and investigate how their interactions can be engineered to produce quantifiable memory and learning behaviors. PhD position in the development of life-like
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development. We are looking for a highly motivated candidate with a strong background in synthetic organic and polymer chemistry, the ability to work in a multidisciplinary field, and openness to learning
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considered. Where to apply Website https://academicpositions.com/ad/empa/2026/postdoctoral-researcher-in-organic-l… Requirements Research Field Chemistry Years of Research Experience 4 - 10 Research
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adsorbents/gas adsorption/separation. Project Focus The project builds on Empa’s expertise in the field of sorbents and carbon capture. The position is part of the National Center of Competence in Research