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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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> Entity/Department: 3IA Côte d’Azur Institute •Open to: External applicants (contract position) •Contract duration: 2-year fixed-term contract •Category: A – Gross salary up to €3,200/month
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collaboration on real-world test cases with industry stakeholders. - Disseminate research findings through publications in leading conferences and top-tier journals. This PhD position offers a unique
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European Magnetism Association EMA | Montpellier, Languedoc Roussillon | France | about 19 hours ago
Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image their magnetic state at the nanoscale using scanning NV center magnetometry, both at 4K and room...
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control