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. We are now looking for: Three (3) Doctoral Researchers (PhD students) in Machine-Learning-Driven Atomistic Simulations The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro
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a dynamic, international research environment. Your experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong
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experience and ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field
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reaching the milestones including the supervision of PhD, MSc, and BSc theses Collect and archive reporting data from your peers to keep track on the progress Coordinate our local efforts with our national
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in
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estimating system performance, capacity, and operational requirements under various industrial scenarios. What We Are Looking For (Your Profile): Required Qualifications: A master's or PhD in Energy Systems
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) Experience in training people to use delicate equipment Experience in surveying and negotiating with international distributors globally for experimental equipment PhD in natural sciences or technology
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automation, CAD design, programming, vacuum systems, machine learning and/or electronics is considered advantageous but not required Alignment with our core values What we offer Full-time, 4-year PhD funding