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of targeted delivery strategies of oligonucleotide therapeutics to B cells Host institution: Uppsala University, Department of Pharmacy Supervisor: Prof. Sara Mangsbo, Uppsala University Project 2: Delivery
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with researchers at Chalmers and the University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous
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Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months ago
new knowledge and new perspectives, the University contributes to a better future. Doctoral position in Medical Science Project title: Modeling and targeting pacemaker cells in glioblastoma
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description Third-cycle subject: Applied and computational mathematics The Department of Mathematics at KTH is announcing a PhD position in Mathematics with a specialization in AI, focusing on Bayesian inverse
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understanding of statistics (e.g., hypothesis testing, Bayesian statistics) Good collaborative abilities, independence, and critical thinking. Preferred qualifications In-depth experience with LLM agents
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, identified key markers and regulators of disease progression are evaluated functionally in various human cell and tissue model systems to assess their potential as treatment or vaccine targets. Here you can
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insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells