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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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at the Translational Research and Innovation in Medicine and Complexity (TIMC) laboratory. InSyHT is a multidisciplinary team specialising in the development of medical devices for analysis, diagnosis and treatment
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being transported in ducts and pipes. There is significant pressure to reduce transport-related emissions, of which friction drag is a major constituent. On the other hand, enhancing the turbulent fluxes
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/ climate, risk engineering, data & AI (modelling, simulation, decision support), GIS and spatial analysis, analytical chemistry or toxicology, risk economics / management, law & governance, regulation
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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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biophysics and biomolecule analysis (proteins, oligonucleotides, living cells). International work experience is desirable; experience in Japan would be a plus. Previous experience in research funding
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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