Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
-
learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
-
and experimental models to study metabolic communication in GBM invasion. In this context, spatial transcriptomics and mass spectrometry imaging provide tissue-level maps of tumour–microenvironment
-
Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
-
evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
-
integration of West Nile virus and avian influenza issues into a participatory multi-agent model developed for the prevention of zoonoses as part of the PREZODE ZOOCAM project. The assignment aims to produce
-
Drosophila and/or mouse models. • Prepare and analyze samples for single-cell and/or single-nucleus sequencing approaches. • Participate in the development and use of 3D spatial transcriptomics approaches
-
. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating models that bridge the gap between laboratory settings and
-
to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
-
data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be