38 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Nature Careers in France
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rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing a structured system for AI-assisted mathematical research, applied
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of the PhD The PhD project is planned over a three-year period and is structured as follows: • Year 1: in-depth literature review on early detection, spatio-temporal perception, eventbased vision, and spiking
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar Dittmar gunnar.dittmar@lih.lu More information about the groups can be found here: https://signaling.lih.lu
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption
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listed below. Detailed information on the different thesis projects proposed, including the scientific description and contact details of the supervisors, is provided on the following website: https
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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2 050 and 2 150 EUR
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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will be supervised by Christophe Eloy (IRPHE, Centrale Méditerranée), whose work spans fluid-structure interactions and reinforcement learning, Laetitia Giraldi (Calisto, INRIA), an expert in