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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be
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pursuing experimental work. experience with fine mechanics will be meritorious After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree
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to develop new DNA/RNA nanostructures that can act as targeted nucleic acid therapeutics for cancer. Rather than designing and testing such vehicles one at a time, the project will use a high-throughput
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targets users within national infrastructures, within the Data-Driven Life Science (DDLS) programme, and Swedish life science researchers in general. A key focus for the coming years is to build integrated
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interpretable models that capture system-level mechanisms in cells to enable the identification of drug targets, biomarkers, and resistance mechanisms. The project is carried out in close collaboration with Wei
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for Molecular Medicine (WCMM fellows), within the network Program for Academic leaders in Life Science, PALS, see https://www.palsnetwork.se . Subject area The position targets outstanding applicants with
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by developing data-driven approaches to identify and prioritize isoform-specific therapeutic targets, enabling a new level of precision in RNA-based treatments. The project will combine large-scale
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completed courses. Earlier specialization in machine learning, control theory or mathematics is highly desirable. After the qualification requirements, great emphasis will be placed on personal skills. Target