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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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with the supervisor and within the framework of the subproject. The obligations of the appointed PhD candidate include writing academic texts in English, and the selected candidate is expected to work
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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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and 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
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analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness
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: Strong knowledge of building physics and HVAC system Knowledge of automatic control Programming skills (e.g., Python, R, MATLAB) Fluent English skills, both written and spoken. Contract terms and what we
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. Good skills in programming (e.g. Matlab, Python, C/C++) Strong written and verbal communication skills in English The following experience will strengthen your application: Experience with radars
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ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent
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mathematical maturity and programming skills, and very good English skills, both orally and in writing. We also look for ability to work independently and to formulate and address technical and scientific