20 component-labeling-agorithm-cuda Postdoctoral positions at University of Cambridge
Sort by
Refine Your Search
-
backgrounds, and a willingness to take a leading role in the supervision of junior group members. The successful candidate will be part of a thriving community of computational materials scientists as part of
-
will not be possible to undertake this position fully remotely. We welcome applications from those wishing to work part-time. The MRC Biostatistics Unit is situated on the Cambridge Biomedical Campus
-
The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
-
will work as part of the project team of Principal Investigator and the Frankfurt-based co-Investigator as well as working the India project team. They will be part of the larger community of researchers
-
for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please quote
-
applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees
-
-cytometry RNA/ protein analytical techniques, microscopy and tissue culture. You will be able to work both independently and as part of a team, have excellent communication, organisational and problem-solving
-
involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
-
independently and as part of a collaborative research team. Strong organizational and time management skills. Preferred Qualifications: Expertise in advanced metabolic techniques (e.g., indirect calorimetry
-
neuroscience and plasticity questions, and is imbedded in the wider Cambridge neuroscience environment. The key ingredient is to be passionate about the questions of the lab, to be independent, and a background