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Mastering isotope geochemistry methods, including clean lab work and MC-ICPMS. Independence Good writing skills Obligations and risks > 35 h/week > no remote working Training and experience required > PhD in
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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Education Level: PhD in insect physiology or behavioral ecology. Desired Experience: Experience in insect breeding, microscopy, behavioral data processing, and analysis and processing of proteomics and
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of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in literature, with a specialization in contemporary literature and in-depth knowledge of critical
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FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in physics - Research record demonstrating a
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of Research ExperienceNone Additional Information Eligibility criteria PhD in soft matter physics, or a related field. - The candidate is expected to have a strong background in particle-resolved studies and
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/simulation programming - characterisation of various samples - supervising student (intership, PhD candidate) - writing articles - taking part in conferences This work will take place at ISMO within
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE Postdoc/R2: PhD holders RESEARCH FIELD(S)1
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criteria • PhD degree (or equivalent) in physics, photonics, condensed matter physics, materials science, or a closely related field. • Strong background in experimental optics, spectroscopy
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FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in corrosion or electrochemistry Additional Information Selection process Applications must be sent before November 12th to: job-ref-79jgqxxwaz