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and mortality registry, community-embedded settings for participatory research, and cutting-edge methodological expertise in causal inference and artificial intelligence methods for epidemiology and
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tracking immune cells in cell culture and murine models of inflammation and cancer Conducting histological analysis for validation and correlation of imaging results Analyzing imaging data and contributing
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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the action sequences coordinating predator-prey interactions between the nematode Pristionchus pacificus and its prey. You will use tracking microscopy to obtain high resolution behavioural data of predator
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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Sciences at Universität Hamburg can be chosen. Fast-track option Exceptionally qualified applicants can enter the doctoral programme directly with only a Bachelor's degree (that is materially relevant
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structured PhD education which consists of supervision, education and support: Regular PhD committee meetings to track the progress of the work and address problems One soft skill or transferable skill
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areas of each track of the programme (economics, finance, marketing and accounting), followed by courses designed to expose students to the research frontier in a variety of fields of specialisation
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admission requirements There is a formal application process. Your application will have to include academic track record, CV, writing sample and letters of recommendation. Your application will be evaluated