Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
https://institutminestelecom.recruitee.com/o/postdoctoral-researcher-bio-inspir… Work Location(s) Number of offers available 1 Company/Institute IMT Mines Alès Country France State/Province Occitanie City
-
) and CosmoStat at CEA Paris-Saclay, with a view to developing cosmological inference methods based on forward modelling for the analysis of the LSST survey from the Vera C. Rubin Observatory. To exploit
-
Doctoral student in statistical shape modelling of the human body for vehicle safety applications Reference number REF 2026-0279 Help shape the future of vehicle safety by developing next-generation
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Research Scientist Employer CRUK Scotland
-
(m/f/d) on Process Simulation for Metal Cycles The Chair for Ecological Resource Technology focuses on the modelling, simulation, and evaluation of global material cycles. Our research focuses on the
-
to the development of annotation protocols and quantitative analyses for modelling the magnitude and temporal coordination of prosodic cues across speech data, working closely with the ERC postdoctoral
-
magnitude and temporal coordination of prosodic cues across speech and sign, working closely with the ERC postdoctoral researcher responsible for multimodal motion-capture modelling. The dissertation
-
Radboud University Medical Center (Radboudumc) | Nijmegen, Provincie Gelderland | Netherlands | about 1 month ago
apply Website https://www.academictransfer.com/en/jobs/363563/postdoctoral-researcher-ai-stru… Requirements Specific Requirements Profile We are looking for 1 or 2 highly motivated postdoctoral
-
Position Description The Institut de Physique Théorique (IPhT), CEA Saclay, invites applications for several postdoctoral research positions. The positions are supported by the ANR projects SEFT
-
statistical modelling approaches. Beyond this research focus, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https