Sort by
Refine Your Search
-
the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will
-
by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
-
7 Sep 2025 Job Information Organisation/Company CNRS Department Conditions Extrêmes et Matériaux : Haute température et Irradiation Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 27 Sep 2025 - 23:59 (UTC) Type of...
-
applying bioinformatics tools capable of predicting protein aggregation and co-aggregation, followed by large-scale scanning of microbial proteomes against the human proteome. The objective
-
at the University of Munich, SAW transducers will be integrated with waveguide structures to perform spectroscopy on a small inhomogeneous ensemble (the implanted region) and to provide direct evidence of acoustic
-
feature filtering procedure to deal with the large feature set necessary to predict the thermoelectric ZT of a material. - Improve the already existing experimental dataset. - Apply different machine
-
, takes place in the frame of the SF-PLANT project of PEPR SupraFusion which aims at assessing the impact of high temperature superconductors in the design of fusion power plants. The prediction of plasma
-
small portion of the tumor. Once the diagnosis is made, few criteria are available to predict treatment efficacy. Cancer therapies increasingly rely on biological and morphological criteria
-
techniques during ex vivo testing and during monitoring of the animal's response to material integration should provide sufficient data to enable the construction of predictive tools. Currently, experimental
-
lactate, offering a unique insight into biochemical activity within tumor tissue. The joint exploitation of these two modalities could significantly improve the prediction of tumor progression, but requires