Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
(2024), pp. 1–55. [3] Fernando Gama et al. “Convolutional neural network architectures for signals supported on graphs”. In : IEEE Transactions on Signal Processing 67.4 (2018). [4] Luana Ruiz, Fernando
-
communication signals on our mental processes. What you will do Build novel deep learning architectures for auditory prediction (speech and/or music) prioritizing explainability and cognitive hierarchies Quantify
-
) study the diet of predators; and (4) estimate predation rates and the relationships between the different species. The tasks of the person recruited aim to provide information on point 3. The study of
-
, provide an assessment of the application. Please indicate their relationship to you Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally
-
the long-standing view of flavins as simple redox cofactors and instead point to a far richer and largely unexplored chemical potential. Specifically, this project aims to synthesize bio-inspired flavin
-
preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
-
, morphological, and thermal properties. Working with the other project participants, the postdoctoral researcher will be specifically responsible for developing synthesis processes to achieve the desired
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
-
models indicate that the thermal structure of the European lithosphere remained stable during the Mesozoic, potentially due to small-scale convection at its base. To evaluate this hypothesis, the study
-
. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ