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will be admitted to postgraduate education. Eligible for admission to postgraduate education is a person who has completed a degree at an advanced level in a technical, mathematical, or scientific field
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technical, mathematical, or scientific field or who has otherwise acquired knowledge to be able to benefit from postgraduate education in the subject. Eligibility requirements have to be satisfied at the time
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(LCA)—as well as statistics, mathematics, biological waste treatment, source-separated sanitation, and the digitalisation of agriculture. The department is responsible for more than 30 undergraduate and
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mathematical statistics (University of Gothenburg / Chalmers University of Technology) Prof. Mats Nilsson, pioneer in spatial genomics (SciLifeLab & Stockholm University) Integration into the national DDLS
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influence the strategic leadership and management of our teaching activities. Have expertise in computer science or mathematics, with experience in developing novel and scalable computational models (e.g
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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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of the department, inspire students and positively influence the strategic leadership and management of our teaching activities. Have expertise in computer science or mathematics, with experience in developing novel
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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, connecting with research groups in mathematics and computer science at Lund University. These cross-disciplinary partnerships will provide a rich environment for exchanging ideas and advancing innovative
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
creativity and a high degree of expertise in the field, for example in clinical medicine, epidemiology, bioinformatics or mathematical modelling including handling of large-scale data sets. We expect