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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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a multidisciplinary environment and possess a curiosity-driven attitude. Very good knowledge of written and spoken communication skills in English is required. Knowledge of French is not essential
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creativity and scientific curiosity, is highly valued. Guarantees and benefits : Stable 2-year post-doc position A working contract at CEA offers good work-life balance, professional training to strengthen
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- Good communication of scientific results -Knowledge on evolution, statistics, evolutionary genomics, especially for sex chromosome studies (phylogenomics, orthology, selection, synteny, SNPs, structural
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studying autobiographical memory, identity, trauma, or narrative processes. - Knowledge in Natural Language Processing (NLP) or experience in interdisciplinary collaboration with computer science is a
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environmental exposures and human health. Good statistical knowledge. Experience with common programming languages (R, Python). Experience managing and analysing large datasets, particularly environment and/or
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graphics, machine learning and graphics programming, as well as a good command of English. Knowledge of data science and deep learning is an advantage. You demonstrate good team spirit, interpersonal and
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Research. Its’ one goal is to improve the health of all by advancing knowledge of life and disease, innovation in treatment, and public health research. The EpiAgeing team where the PhD candidate will be
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(symbiosis, parasitism). Molecular approaches (‘omics’) have improved our understanding of the adaptive mechanisms to these changes. However, the cellular architecture and structural organisation of organelles
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Vector Network Analyzer (VNA) measurements. • Good knowledge of dielectric materials and their frequency-dependent properties. • Experience with vacuum instrumentation or controlled environmental testing