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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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’ surveillance, and ideally bacterial genomics. Excellent knowledge of written and spoken English (minimum C1 level) Practical level of French language (minimum B2 level). Experience in international scientific
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defense of their PhD thesis by mid-September, 2025. In addition, applicants must be fluent (reading, writing, and speaking) in English. A short list of applicants will be selected based on their CVs
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We are recruiting a highly motivated and experienced researcher to develop and structure a research and educational program dedicated to kidney cancer. The position is supported by a 3-5 year fixed-term contract (CDD) with a transition to a permanent professor position at the end of the...
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Apply by sending an email directly to the supervisor, including: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ. • Motivation Letter. • Academic transcripts of a master’s degree(s) or equivalent. • At least, one letter of recommendation. • Internship report, if...
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The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma). The“Chaire INSERM”will get the opportunity to lead independently a research project which will...
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The generalization of new generation sequencing data (i.e., multi-omics: genomics, transcriptomics, proteomics, ...) as well as the emergence of new methods (single cell sequencing, spatial transcriptomics) opens new research horizons on cancer pathologies. These data, of very large dimensions...
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include hyperparameter optimization, meta-learning, and adversarial training. The general bilevel problem can be...
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In cancer as well as chronic infections, T cells are exposed to persistent antigens and acquire a dysfunctional gene expression program which includes high expression of the inhibitory receptor Programmed Cell Death-1 (PD-1). PD-1 targeted therapies elicit clinical responses in different...