Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
/recruitment/2-year-postdoctoral-p… ** Project ** Computational and high field MRI characterization of learning and decision-making ** Supervisor and contact ** Dr Florent MEYNIEL https://www.unicog.org/lab
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description On-chip fertilization: Making a controlled microfluidic environment to decipher
-
trustworthy decision-support systems. They generally perform well in diagnosis and solution recommendation. However, they often struggle with prediction and detection tasks, especially with complex data, and
-
studies have shown that rigid non-spherical particles, such as ellipsoids or fibers, preferentially sample specific regions of turbulence, often accumulating in zones of high vorticity or strain. However
-
Can we restore hearing and balance by correcting the genetic cause of disease? We are looking for an outstanding and highly motivated PhD candidate to join the RESTORE project at the Institut
-
into specialized models, still have significant limitations, particularly in accurately attributing interactions to the correct person in dense scenes and discriminating actions in the presence of objects
-
is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right
-
, with the longer-term objective of improving the prediction of fast-charging behaviour. Your project will be to build or adapt a machine-learning interatomic potential for lithiated graphite using density
-
million people infected worldwide. Although HBV infects hepatocytes, its evasion and modulation of the immune response is key to the progression of the disease. We have established a unique humanized mouse
-
Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum