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project: Computational methods for complex SV detection using sequencing data Main supervisor: Kristoffer Sahlin, ksahlin@math.su.se . Co-supervisor: Adam Ameur, adam.ameur@igp.uu.se . In the Department
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teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department
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collaborative mindset and strong motivation to work across disciplines. Personal suitability will be a key selection criterion. You can find information about education at postgraduate level, eligibility
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digital biological system for generating labeled data using biology-informed DNNs and GenAI. The objectives will be achieved by combining methods and techniques from separate research fields – (a
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undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The project will be led by Ida-Maria
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particularly valuable. Documented experience with machine learning and biostatistics is also highly meritorious.You can find information about education at postgraduate level, eligibility requirements and
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2025, UFV-PA 2025/1241. Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden . Uppsala University is a broad research
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students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The project will be led by Professor Nataša Sladoje
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to work at Uppsala University? Find out more about what it´s like to work and live in Sweden . Uppsala University is a broad research university with a strong international position. The ultimate goal is to
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model