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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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Additional Information Eligibility criteria PhD in photonics, optics, telecommunications, signal processing or a related scientific or engineering field. * Strong knowledge of photonics and optical
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ExperienceNone Additional Information Eligibility criteria General, theoretical or subject-specific knowledge: - The candidate must have solid experience in materials science, synthesis and characterization
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FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in condensed matter physics, materials science, or a related field; • Strong knowledge of thin-film growth techniques
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of genome organization In-depth knowledge of biology, particularly in the areas of chromatin organization and the role of nuclear pores, is required. Proficiency in the microC technique—including both
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. The candidate must have earned a PhD (or equivalent) in Chemical Sciences or Molecular Chemistry with a chemical synthesis-oriented and spectroscopy background. He/she should be able to work with independence in
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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16 Jul 2026 Job Information Organisation/Company CNRS Department Développement, Adaptation, Vieillissement Research Field Biological sciences Biological sciences » Biology Researcher Profile First
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Skills and Qualifications • PhD in Chemistry, Physicochemistry of Polymer Materials, or a related field. • Strong experience in polymer characterization. Knowledge of bio-based materials is a plus but not
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14 Jul 2026 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Environmental science Environmental science » Earth science Environmental