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interest in understanding the role of intracellular protein degradation in cancer. Inhibition of protein degradation by the ubiquitin-proteasome system (UPS) has emerged as a new way to target malignancies
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to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? As a postdoc in this project, you will be part of KIRI
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the Division of light and matter within the Applied physics department at KTH. The department is part of the Stockholm center for physics, astronomy and biotechnology. The center groups physics related research
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investigations to gain fundamental insights into these new transformations. This position is equivalent to a postdoctoral position and is a initial step in a researcher career. Work duties Detailed description
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, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://icm.uu.se . The Deindl lab
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
to conduct groundbreaking gene expression analyses in neurodegenerative diseases. Take the opportunity to work in an international environment with world-leading research and contribute
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conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular organelles or unused proteins. Autophagy plays an important role in development and ageing and has been associated
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at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new
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-14158 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Postdoc to become part of our team at the Division of Subatomic, High-Energy and
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research