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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | about 4 hours ago
the global challenges facing societies and the planet. This win-win relationship makes science and innovation major drivers of development. The Institute operates under the dual supervision of the Ministry of
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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; Veselská et al., 2025) and the development of mathematical model capable of accurately representing the hydrological characteristics of the catchment area and runoff simulation software (FullSWOF). Initially
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to enable drug discovery applications”. Are you interested in mapping the binding sites of the human proteome and developing new pharmacophore software to screen against the sites to identify novel bioactive
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Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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toxicity predictions. Must have familiarity with data generated by cell screening assays, cell painting, and cheminformatics. Must have experience in research software development, FAIR data/open science
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to design novel bioelectronic implants and develop specialized control software Profile We are seeking highly motivated applicants with a background in physics, material science, or chemistry Ideally with
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Offer Description Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1
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will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed