40 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" positions at ICN2
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(health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: 01/01/2026 How
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contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date
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activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and
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, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: January 2026 How to apply: All applications must be
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, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: January 2026 How to apply: All applications must be made
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, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include the following
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areas of nanoscience and nanotechnology. Postdoctoral Researcher in electrochemical methane conversion Research area or group: NanoElectrocatalysis and Sustainable Chemistry Group Description of Group
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of Group/Project: The AMS group focus on the atomic-scale engineering of the quantum properties of novel nanomaterials. Our aim is to understand and control quantum phenomena with atomic precision by
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liquid TEM sample holders. Carry out in-situ experiments from the project partners materials and samples. Requirements: BSc and/or MSc in Chemistry, Materials Science, Physics, Nanotechnology or equivalent
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nanomaterials via wet-chemistry routes, achieving precise control over size, morphology, composition, and structural complexity. Within the framework of the M2S project (ML + MD Optimization of Synthesis Routes