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Networks, and ICT Services & Applications. Your role Design intelligent agent architectures leveraging large language models (LLMs), planning algorithms, and secure transaction protocols tailored
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, biochemists and technicians. The multidisciplinary research in our group covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiological modelling
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applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability
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of paleoclimate modelling, starting as soon as possible. The position is funded for 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - DTU Health Tech Shape the future of transfusion medicine—while shaping your own future What’s in it
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cigarette smoke and UV radiation to chemotherapeutic cancer treatments, the cells in our bodies are constantly struck by exogenous agents that damage our DNA. The processes that evolved to repair and tolerate
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of inflammation and cancer using shape- and size-tunable self assemblies (aza-BODIPYI) as contrast agents. This project is part of the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ
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develop targeted antiviral therapies against specific viruses; on the other, we work on broad-spectrum pan-virus family antiviral agents. These broadly active compounds are essential for a rapid and
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modelling, multi-disciplinary optimization or AI-based surrogate modelling techniques. · Soft skills: o Strong analytical and problem-solving abilities. o Excellent communication and technical
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof