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empowering our people to fulfil their personal and professional ambitions ·Gender-friendly environment with multiple actions to attract, develop and retain women in science ·32 days’ paid annual leave, 11
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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· Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and interact with junior scientists (technicians, MSc/BSc students). What
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for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Environmental Sciences and Natural Resource Management The Faculty of Environmental
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-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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groundbreaking interdisciplinary research project at the intersection of computational science, epidemiology, and neurology? The Faculty of Medicine, Department of Clinical Medicine at the University of Bergen
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy