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in the development of glioblastomas. The postdoc will use in vitro approaches to culture patient-derived cells with oligodendrocytes and will also be required to carry out or assist with in vivo
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protocol: defining annotation categories; describing the criteria and procedures to be adopted; drafting the coding manual. - Supervision of expert multimodal annotations: o Delivering training on annotation
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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and to mentoring students. Research Environment and Supervision: The postdoc will be a member of the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Francesca Calore, with
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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2026. This position is funded by the ENIGMASS+ federation and is primarily intended for early-stage postdocs with up to two years of experience since obtaining their PhD. We are seeking highly motivated
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experienced candidates could also be considered. The candidate should have a good command of English. While knowledge of French is not mandatory at start, the postdoc would be expected to learn spoken and
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome