55 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Copenhagen in Denmark
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wildtype animals, we aim to use CRISPRcas technology to produce knock-out lines, which will facilitate comparative physiological and ecological experiments to understand the cost, function and ecological
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 43. Questions For specific
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for SMARTbiomed, Section of Biostatistics, Department of Public Health, University of Copenhagen. https://smartbiomed.dk Terms of employment The average weekly working hours are 15 hours per week. The position
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at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by
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will be assessed according to the specific requirements listed in this advertisement. For associate professors: https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger
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. The Center comprises modern laboratories and excellent facilities within neuroscience. Information on the department can be found at: https://ctn.ku.dk/ . Your job You will join a multi-disciplinary research
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Collaborative Research Grant, in collaboration with the University of Gothenburg and Chalmers University of Technology. Start date is (expected to be) 1 January 2027 or as soon as possible thereafter. The project
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and SP Group, and the deep tech materials technology company Nanocore. The project, which is called FUTURPLAST, is supported financially by the Innovation Fund Denmark within the Grand Solutions program
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience