266 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Minho" "EURAXESS" Postdoctoral positions at Nature Careers
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
. Learn more: https://www.cagenome.org/lab How to Apply Please submit a single PDF containing your CV, a cover letter describing your research interests and career goals, and the contact information
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
, physiology, biodemography, biogeochemistry, and Earth evolution. We welcome applicants who are prepared to participate in cross-disciplinary cooperation with the department. The applicant will be part of
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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We invite applications for a two-year post-doc position in the field of Organic Electronics, with the focus being on the development of a novel light source, a light-emitting electrochemical
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available in the research group of Prof. Dr. Jan Streuff. The planned project deals with the development of new titanium(III)-catalyzed reactions, more information can be given during the interview
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University of Connecticut Health Department of Regenerative Medicine and Skeletal Development 263 Farmington Avenue Farmington, CT 06030-3705 Tel: 860-679-2062 email: reichenberger@uchc.edu visit us at: https
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provides unique career development opportunities for the postdoc trainees. Multiple former postdoc trainees have become Tenure Track Assistant Professors and/or Independent PIs in USA and other country
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coverage by exploiting negative ion mode and advanced fragmentation methods. Within this framework, the postdoc will drive method development and high-level experimental MS studies, including systematic
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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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