302 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
-
test therapeutic strategies relevant to understanding and treating pediatric neurological disease. [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html
-
(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
-
Excellent training and professional development opportunities The university and what we offer: https://www.uni-ulm.de/en/einrichtungen/zuv/dezernat-3/job-portal/ Seize the opportunity and join us in shaping
-
information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
-
University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:884285/ ) and submitted by the deadline 2026-02-12. The application must contain: Cover letter describing your research
-
field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
-
the laboratory of Dr. Qiang Zhu (https://zhulab.vai.org/) at Van Andel Institute (VAI). The research group combines multidisciplinary technologies to study disease mechanisms and develop innovative therapeutic
-
interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
-
complementary strengths to create a unique, cross-institutional research environment at the intersection of AI and the life sciences. For more information about participating institutions, please visit: https