70 parallel-and-distributed-computing-phd-"Meta"-"Meta" uni jobs at Nature Careers in France
Sort by
Refine Your Search
-
at various levels (Bachelor, Master, PhD) Provide lectures in Theoretical Computer Science for bachelor and master programs Advise PhD candidates and contribute to doctoral and postdoctoral training (e.g
-
Leveraging the spatio-temporal coherence of distributed fiber optic sensing data with Machine Learning methods on Riemannian manifolds Apply by sending an email directly to the supervisor
-
protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
-
. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
-
of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
-
Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
-
have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
-
the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods
-
contribute to doctoral and postdoctoral training (e.g., organizing research seminars, reading groups, summer schools) Your profile A PhD degree in Computer Science or a closely related field A research track
-
the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop