83 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "P" PhD positions at Nature Careers
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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well as basic research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The
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includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: An MSc (or equivalent) in structural biology, cell biology, biophysics, bioengineering
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vision here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet The Ph.D. candidate will be part of the Pharmacy section: https://www.sdu.dk/da/forskning/farmaci-sektionen
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
results. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will model the mechanical properties and plastic deformation of materials with diverse
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curriculum vitae, including a list of publications. Contact information for two references. For more information about our research center https://cmn.sites.vib.be/en For more information about the teams https
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citizens in their choices, public authorities 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
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equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with
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( https://doukalab.univie.ac.at/ ) on a research project supported by the European Research Council. They will be part of a leading international team of researchers in the department working across
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de