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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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human health. The lack of discovery of new modes of action, increasing costs of registrations, and development of resistance among weeds and pests, further limit the prospects for relying on chemical
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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losses, but are increasingly scrutinised and regulated due to risks to the environment and human health. The lack of discovery of new modes of action, increasing costs of registrations, and development
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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. The Biomedical Electromagnetic group focuses on developing new, more effective medical methods and systems for diagnostics and treatment. Core activities include signal processing, antenna design, and
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Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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researcher to join our growing team. Our research spans fundamental and applied studies in pyro- and hydrometallurgy, with a strong emphasis on sustainable metallurgy and the development of resilient value
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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how