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Eligibility criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression
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. - Palaeographic and Latin verification of transcriptions based on fourteenth- and fifteenth-century Latin manuscripts - Production of prosopographical profiles to be added to the database DEBATE - Conducting
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression will be
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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selectivity is already being studied in the laboratory using approaches based on the functionalization of sensitive membranes. Original contributions expected: Software approaches involving the development
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, teamwork • Ability to respond to challenges • Dealing with confidentiality • Efficiency with office software /Behavioral skills : • Self-learning and interpersonal skills • Excellent communication skills
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
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the supervisory team: Quentin Jouet (Montagne bleue, lead developer of FloeDyn) and Dr Jérôme Weiss (CNRS, ISTERRE, Grenoble). The dynamics of sea ice is governed by a set of mechanical processes and complex
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in the process of collecting. In fact, the experiment has recently removed its hardware trigger and is relying on a purely software-based trigger system, in order to maximise its efficiency in