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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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programme 'Bachelor of Nursing in General Care' started in September 2024, while two more bachelor programmes - Midwifery and radiographer/clinical imaging - are set to commence in September 2025
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, dynamic and innovative researcher to integrate our community. The ideal candidate will possess deep expertise in the application of cutting edge computational methods to understand the brain mechanisms
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on extending this seminal work to other high-dimensional distributions, and optimal transport distances with applications to unsupervised domain adaptation. In particular, we will consider the extensions
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications in English should include Curriculum Vitae A cover letter outlining your
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-environmental data cube, including establishing a robust GitLab environment Supervising the development of new data products and user-friendly web applications Serving as the central point of contact for data
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Pasteur. Developing tools and applications to be shared with the broader scientific community Interacting directly with scientist upon specific inquiries As part of a PEPR (Programmes et Equipements
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
the Master’s 2 and the Graduate Programme “Materials Science” option “Innovative materials, advanced technologies and modelling”. These lessons are necessary to study the behaviour of biobased products