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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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in Artificial Intelligence (Machine Learning and Statistics) at CentraleSupélec, · Joël Eymery, Head of the Nanostructures and Synchrotron Radiation Team at CEA Grenoble, · Jean-Sébastien
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at conferences and congresses Research will be carried out in either French or English, although non-French-speaking candidates are expected to make every effort to learn basic French to facilitate communication
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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an expert on every subject, but be ready to learn on all aspect of the project. It is essential to have published scientific paper to apply. The candidate must have a strong appetite for experimental work
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Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
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. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced cytometry a strong motivation to learn organ-on-chip technologies a track record of publications in relevant
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The Postdoctoral researcher will be working in the Institute for Lifelong Learning