37 formal-verification-computer-science PhD positions at University of Southern Denmark
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Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
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programme at the Faculty of Business and Social Sciences in Economics . Your employment as a Salaried PhD Student is governed by the agreement of November 10, 2015, on Graduate Employees in government
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be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the
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. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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Associations). If selected for the position you will be enrolled in the PhD programme at the Faculty of Business and Social Sciences in Economics . Your employment as a Salaried PhD Student is governed by
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three years. Employment stops automatically at the end of the period.(the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as a PhD student. The PhD program will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on
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Job Description SDU Civil and Architectural Engineering (CAE) invites applications for a PhD position in Structural Engineering, with a focus on advancing probabilistic modelling techniques