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biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in relevant disciplines
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cutting-edge research by using its strong interdisciplinarity; it combines both experimental and theoretical expertise, spanning from the investigation of surface plasmons and the design of nano-structured
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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photodetectors, including thin-film processing and structure–property optimization. In close collaboration with device researchers, you will iteratively improve OPD performance and stability by linking material
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for targeted protein degradation with relevance to cancer biology and therapy. Your responsibilities will include: Designing and conducting biochemical and cell‑based high‑throughput screens Structure‑guided
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. There is growing interest in microsystems that can replicate the local physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing
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their structure and properties. Develop and optimize aqueous electrolyte systems, evaluating their electrochemical window, ionic transport properties, long-term stability, and interactions with electrode materials
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dissimilar combinations of aluminium alloys and tooling systems. The Postdoc project will focus on the development of aluminium or copper materials spot welded structures, specifically shedding light on
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structures and minimizing condensation. The process not only produces a lignin oil rich in aromatic monomers and oligomers, but also leaves behind a carbohydrate-rich pulp suitable for further conversion