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molecular biological and/or cell biology techniques. Experience in microscopy including confocal microscopy. Very good written and oral English language skills. Meritorious is: Skills in computational biology
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in engineering, computer science, physics, or degree program with similar technical focus Experience with radar/microwave remote sensing data and instrumentation Knowledge of a scientific programming
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students at the Faculty of Medicine attend the doctoral education program. More information about the program can be found at Doctoral studies at the Faculty of Medicine. Background and description of tasks
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. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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Description: We are looking for an enthusiastic and dedicated PhD candidate to join the interdisciplinary research center PLATE – Centre for Resilient Meals. PLATE is funded by FORMAS' National Food Program and
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the next generation of data-driven life scientists and to create globally
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observations requires computer knowledge and programming. Competence requirements To be admitted for studies at the third-cycle level, you must have completed a second-cycle level degree or course requirements