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should hold a PhD in physics, astronomy, or a closely related field by the start date. Candidates with experience in detector hardware, electronics, and simulation are welcome to apply. Theorists and
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party in many contexts, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position
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concerns applied science for and often with public and private partners. Job requirements We are looking for a highly motivated researcher with: A PhD in a relevant discipline, such as urbanism
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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publications, conference presentations, and the supervision of junior researchers. Job requirements PhD in physics, biomedical engineering, electrical engineering, medical physics, or a closely related field
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Tremblay en France, le de France | France | 2 months ago
mechanical, electronic, and detector teams, to accomplish the tasks # Actively contribute to ongoing research within the MaLaR consortium # Ensure efficient data collection and data processing, particularly