277 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions at Nature Careers
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mammalian cell work are desirable. The candidate should have worked independently and have good communication skills for teamwork. This is a three-year training and development position suitable for you if
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, proteomics, computing) close mentoring and support for career development (conference travel, networking, writing) fixed-term position (full-time), initially for 2 years, with anticipated extension depending
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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and imaging techniques. Familiarity with advanced bioengineering approaches, such as bioprinting or microfluidic systems for in vitro model development. Strong publication record and ability to work in
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-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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working on bridging this gap by investigating the biochemical properties of Asgard archaea proteins crucial to the understanding of their ecology and evolution. You will perform: heterologous expression in
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designs. Visit his group webpage (http://mbg.au.dk/yuya-hayashi/ ) for further information. Yuya also organises a cross-departmental network of extracellular vesicle researchers at Aarhus University, EVAnet
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics