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understanding of plant biology • Good communication skills and excellent knowledge of English, both orally and in writing Meritorious qualifications • Experience or knowledge of food crops and agriculture
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) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
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fluent in written and spoken English and should be proficient in a Nordic language. Experience in logistics is an advantage. In addition, knowledge in transport and energy systems analysis, sustainability
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of the thesis project, written and oral proficiency in English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based
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mainstream rule languages that are deployed in large-scale IT systems. Within the broader realm of the theme 'Automating Reasoning about Automated Reasoning', research tasks can be selected based
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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group The Department of Molecular Medicine and Surgery (MMK) and the research groups of Vascular Surgery and Clinical Physiology are looking for a curious and highly motivated Ph.D. student to join Dr
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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deems relevant for the doctoral position. Good knowledge of English in both speech and writing is a requirement. The applicant must be able to teach in English. Additional qualifications A strong