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projects. The project is funded in part by the Swedish Childhood Cancer Fundation and aims to identify therapeutic targets on metastases and functionally validate them using CRISPR-based studies and
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origins using AI-based tools Subject description Artificial intelligence (AI) is transforming forensics by enabling unprecedented precision in tracing the geographical origins and transmission routes
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is conducted primarily in the fields of quantum many-body systems, which includes theoretical research in nuclear physics, nanometer physics, quantum information, atomic physics, and modeling
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-pathogen interaction models, antimicrobial peptides, or CRISPR-based systems. You have experience of insect models or RNAi-based screening. You have experience of functional delivery assays (e.g., in
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large part of the experimental work takes place at large scale facilities, using imaging, scattering and spectroscopy-based techniques. The group strives for an inclusive environment, largely based
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to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
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rheumatic disease juvenile idiopathic arthritis (JIA). The research is deeply rooted in both clinical and preclinical projects. The projects related to this position are primarily focused on laboratory-based
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universal cryo-Cage for structural analysis of refractory targets based on EF-hand complementation. Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also
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project will investigate the failure mechanisms of silicon-based anodes in solid-state batteries (SSBs), a promising next-generation energy storage technology. Silicon is an attractive negative electrode
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. Meritorious are: candidates with a PhD completed no more than three years before the application deadline; a strong background in group theory. The assessment of applicants will be based primarily