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Location:Neural Coding in the Auditory System group, Institut de l’Audition , Paris. Type of contract: 12-month fixed-term contract (CDD) – The contract is initially for 1 year but can be extended. Start date: November 2025 To apply: Application to the CNRS portal:...
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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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on large-scale genetic and environmental data to identify relevant exposures and gene-environment interactions. Method Development: Develop novel statistical and computational methodologies to address
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. Responsibilities will include: Developing expertise in audiological test batteries Data wrangling, cleaning, and feature engineering Applying and implementing statistical or machine learning methods, depending
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with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both
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exploited by the tumorigenic process. Candidate profiles We are seeking highly motivated candidates with: A PhD (or near completion) in cancer biology, immunology, cell/molecular biology, or related fields. A
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of preclinical murine model of melanoma responsive or not to ICI. Specific objectives and methods The specific objectives of the M2 are: 1°) To identify which DC population undergo dynamic changes during ICI
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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courses, an active post-doctoral association, sports facilities and competitive salaries with full social benefits. Knowledge and skills Candidates should hold (or be about to obtain) a PhD in structural