274 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" Postdoctoral positions at Nature Careers
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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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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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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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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 website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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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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-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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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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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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. 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