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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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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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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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chemistryYears of Research Experience1 - 4 Research FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD of less than two years in chemistry
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). The candidate must hold a PhD in molecular biology or biochemistry in the field of nucleic acid biology and/or biotechnology, obtained within the last two years. In particular, he/she must have solid and
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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