Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited person will be responsible for developing a protocol to detect
-
applied mathematics and geosciences, this thesis aims to develop a mathematical model that will be validated through an iterative process of field data and numerical modeling. This will improve our
-
for Nanoscience & Nanotechnology, has developed a strong expertise in harnessing light-matter interaction at the most fundamental level. We develop crucial resources for optical quantum technologies, including high
-
framework we have developed recently (Araujo et al. 2025 Trends in Microbiology 33:96, Araujo et al. 2026 biorxiv 2026.02. 10.705025) to account for the relative importance of ecological and evolutionary
-
-career level, are expected to develop independent research programs in neuroscience. The call aims to recruit several candidates from various fields of neuroscience. This includes developmental
-
on complex CO₂ transformations—with applied research aimed at developing more sustainable and circular fermentation processes. We will seek to adapt boron- and silane-based reducing agents, as
-
accelerators, energy and the environment and health. IJCLab has very significant technical capacities (around 280 IT) in all the major fields required to design, develop / implement the experimental devices
-
The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
-
description: We are seeking a postdoctoral researcher with solid expertise in device physics modelling, compact model development, and/or circuit simulation. The successful candidate will: • Develop physical
-
how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large