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(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related
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in cancer immunology and tumor biology preferably for colorectal cancer. Preferably also a strong background in host-gut microbiota interactions in human cancer. Ability to design, execute, analyze
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) • Demonstrated knowledge of MRI physics, particularly that relevant to MRI or MRS sequence design • Expertise in software programming using, for example, C++, MATLAB, or Python • Strong
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, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data
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problem solving. The candidate must have experience in designing and performing lab and field campaigns in freshwater systems and have excellent knowledge of eco-evolutionary dynamics, invasion ecology, and
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tools to drive innovation across chemistry, biochemistry, materials science, and pharmaceutical research. We work closely with synthetic chemists to investigate reaction mechanisms, with an emphasis
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neural network based methods for designing genome editing strategies to treat rare diseases. The postholder will join a large multidisciplinary team covering molecular methodologies, genomics, single cell
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background in chemistry, gene/drug delivery and cancer therapy. We are dedicated to designing and developing nanocarriers for the effective delivery of small molecule drugs and/or therapeutic genes (such as
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together with advanced computational tools. The postdoc will work closely with other members of the team in mining MS data and collaborate with a computational team in the design and building
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) interaction. This longitudinal data set is available for immediate data analysis and publication. The CARE Study : This longitudinal project, which began data collection in winter 2021, is designed to study