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Field
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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utilizing state-of-the-art approaches such as: In vitro and ex vivo cell culture, ability to work with different type of primary and stable cells, ability to create knockout or knock in CRISPR/cas9 is plus
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solutions, work independently You have a background in heterogenous catalysis, photocatalysis, electrocatalysis, or microfluidics You understand the principles behind the different spectroscopic techniques
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laser physics and/or plasma and fluid mechanics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and
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neuroscience institutes (ISC, SBRI, see LABEX CORTEX) provides many opportunities for discussions and training, including regular seminars and different journal and method clubs. English is the working language
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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you do As a PhD candidate, you will explore how individual differences in brain responses to TMS can inform personalized epilepsy treatments. Specifically, your work will involve: Simultaneous TMS and
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Experience in statistical analyses of ecological data Experience with programming in R or Python is an advantage Dependable, pro-active and self-motivated Flexible, adaptive and innovative We offer you