218 computer-security "https:" "https:" "https:" "UCL" "UCL" PhD positions in Denmark
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ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but not mandatory: Interest in advanced computational methods to improve and
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Peter Vilhelm Skov (DTU Aqua
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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thematic training weeks, specialist workshops, and transferable-skills courses central to the MSCA programme. Your research will be based at DTU’s Risø campus, a leading international hub for wind energy
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Submitted applications will be
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience