266 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral research jobs at Nature Careers
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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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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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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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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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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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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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part of the marine group that covers research and advisory tasks across the marine environment mainly related to the Baltic Sea and the North Sea. You will be involved in the further development and
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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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A postdoctoral fellow position is available at the Icahn School of Medicine at Mount Sinai, New York, at the laboratory of Dr. Eirini Papapetrou https://labs.icahn.mssm.edu/papapetroulab/ and the
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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