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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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. The ICN has a background in knowledge graphs representation and processing for mass spectrometry and metabolomics. The Wimmics team specializes in different AI techniques for knowledge graph providing open
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MontpellierJoint research unit of University of Montpellier and CNRS (\~400 members). The DEXTER team (robotics department) focuses on surgical robotics and parallel kinematics, designing high-performance robots
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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processes (development, immunity, stress responses, etc.). RNA stability regulation has been associated with the pathophysiology of various diseases [3–5]. This mechanism is especially important when rapid
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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, - Interest in interdisciplinary work and scientific instrumentation, - Ability to communicate effectively in English, both written and oral, - Willingness to collaborate with researchers from different
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in the Unit, including i) using AI to strengthen epidemic preparedness, ii) the development of models evaluating how the combination of different surveillance systems (e.g. syndromic and virologic