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and sustainable technologies for the responsible exploitation of underground mineral resources. Main tasks • Design and develop new hydrophilic and lipophilic DES for selective metal extraction and
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correlations between active galactic nuclei, especially blazars, and neutrinos detected by KM3NeT. In this context, he or she will play a key role in the KM3NeT real-time data analysis group, as well as in
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. - Have skills in image analysis (segmentation, cell tracking, spatio-temporal quantification) and quantitative analysis of biological data. - Familiarity with classical approaches in protein biochemistry
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know-how • Solid experience in molecular biology (cloning, mutagenesis, vector design) and protein biochemistry. • Experience in biophysical analysis and structural biology. • Experience in mammalian
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advances is a very important element in this large-scale project. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR5301-ISACAL-137/Default.aspx Work Location(s) Number of offers
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will be responsible for performing a sensitivity analysis of SDM modelling applying for five gorgonian species applying BIOMOD2 to the same data set as the one used in Blouet et al. (2024) and extend
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 23 days ago
such as molecular biology, flow or spectral cytometry, immuno-histochemistry, inflammatory signaling pathways, cell culture, imaging, and multi-omics analysis. Knowledge of environmental exposures and their