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Field
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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to fields such as critical theory, digital sociology, criminology, or science and technology studies (STS). As part of the application, the doctoral student will draft a brief plan for an independent project
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analysis using AI. Solid knowledge of signal processing and machine learning. Proficiency in programming (e.g., MATLAB, Python, C/C++). Strong written and verbal communication skills in English. The
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sustainable future through materials science. All early-stage researchers recruited into the WISE programme will be a part of the WISE Research School , an ambitious nationwide programme of seminars, courses
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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 safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
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the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s multidisciplinary theme. The program prepares next-generation computational biologists
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program