28 postdoctoral-image-processing-in-computer-science Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
-
A brand-new two-photon microscope is ready to drive discovery—and we’re looking for a highly motivated Postdoctoral Fellow to join our NIH-funded research program at the Medical University of South
-
Applications are invited from suitably qualified candidates for a Full time, fixed term position as a Postdoctoral Researcher with School of Natural Sciences and School of Engineering , and Ryan
-
The Ghezzi Lab at University of Massachusetts Lowell is looking for a full-time, fully benefitted Postdoctoral Research Associate to participate in a NIH-funded research program which aims
-
A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
-
processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a
-
strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will be considered
-
Postdoctoral positions_Experimental Profile – funded by FIS2 – BADGE project Microbial-Driven Bile Acid Modifications and Their Impact on Gut Ecology Codice grant: FIS-2023-03089 CUP
-
establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling