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selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical
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other exciting projects ranging from autonomous sputter deposition to the development of new ferroelectric materials for non-volatile memory applications. Your profile PhD degree in physics, materials
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materials for non-volatile memory applications. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and
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8 Mar 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other
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for the position are expected to have a PhD in Chemistry, Material Science or Chemical Engineering. Experience in the fields of material synthesis as well as the physical and electrochemical characterization
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering
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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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(e.g., deep learning, explainable and physics-informed AI, large language models, etc.). The position will be developed within the funded project entitled “UrbanTwin: An urban digital twin for climate
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Researcher (R2) Country Switzerland Application Deadline 4 Jun 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 41 Is the job funded through the EU Research Framework Programme