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, and electromagnetics. Very good knowledge of programming (e.g. Matlab, Python, C/C++). Strong written and verbal communication skills in English. The following experience will strengthen your
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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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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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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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for instance to socio-technological networks. The Division of Automatic Control has a strong commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . This recruitment is potentially eligible
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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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with the Julia programming language is advantageous Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your
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and communicate your results both orally and in writing. Conduct research in alignment with project goals Dynamically adjust the research plan based on outcomes Publish scientific articles and present
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doctoral student, you will take both mandatory and elective courses, plan and carry out your research projects independently. About the employment You will be employed by and accepted as a PhD student at the
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and verbal communication skills in English Experience in some of the following areas is meritorious: group theory, statistics, neural networks, machine learning and programming. Evidence of problem