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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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people, including researchers, PhD students, engineers and technicians, within a multicultural and international environment. The person recruited will join the DYNAMOP group (https://www.ibs.fr/en
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. Skills and requirements PhD in Oceanography or equivalent Expertise in coastal ocean dynamics and modeling Proficiency in programming, with a minimum requirement of Fortran and Python Excellent English
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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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Research FieldLanguage sciences » LanguagesYears of Research ExperienceNone Additional Information Eligibility criteria PhD in a field relevant to the TGL project. Good knowledge of Latin. Good knowledge
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. This is a full-time job. Applicant should hold or obtain soon a PhD in the field of Biology. Salary will be according to the CNRS scale. Our team is composed of about 20 people and we are working in a
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- 4 Additional Information Eligibility criteria We are looking for a curious and highly motivated person holding a PhD in microbiology with demonstrated expertise in bacterial culture and genetics and
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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