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). Specialised skills will include biological imaging techniques (multiphoton imaging and second harmonic generation). The potential of circularly polarised Hyper-Rayleigh scattering as a technique for NLO
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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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-radio offsets of few 0.1 mas to several mas, preventing from realizing a wavelength-independent CRF. In this thesis, we propose to, firstly, revise the VLBI analysis methods currently in use to better
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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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approach, combining quantitative genetics, experimental evolution, and meta-analysis, to explore the potential of sexual selection in females at both micro- and macroevolutionary scales. Using the red flour
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to modern genomic datasets that may involve hundreds of populations. He/she will also develop probabilistic GO models inspired from the Redundancy Analysis approach and extend it by introducing Neural
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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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activities: - This research is based on a detailed analysis of atmospheric measurements from a multi-sensor network (remote sensing and surface stations) using statistical analysis and a physical understanding
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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and