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areas, engaging in both theoretical and experimental research in: Data-driven and learning based control - Data-driven adaptive motion planning - Cognitive reasoning, symbolic knowledge representation
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changes, cancer cells can evade the strict control on growth and form a tumor. New studies emphasize the importance of communication between tumor cells and the surrounding tissue for cancer to develop
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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. Subject description The subject includes studies of formal and informal governance, politics as well as studies of processes of change in societal transitions concerning environmental and sustainability
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recently identified signaling pathway by Rolny and colleagues that controls the tumor-promoting functions of TAMs has opened up new avenues for targeted immunotherapy. The project has a strong translational
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), analyse their structure from the ensemble to single molecule level, and apply our findings to design new lipid nanoparticles to study, diagnose, and treat a range of diseases. We place particular focus
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persons using blood-borne volatile organic compounds (VOCs) in breath, towards the goal to improve vector control tools. The main duties of the postdoc will be to carry out an independent research project
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using