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professor to contribute to a major initiative at the interface between cancer, immunity, and metabolism (Ludwig Princeton Branch). We welcome applications from candidates using biological, chemical, physical
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and academic excellence. Ready to be part of our team? Let’s shape the future together! Where to apply Website https://iventajobdata.eu/bestmedia/img/2293325/1915754/cl/7c7695ab265bad0de8c30
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, Interfaces and Nano-Objects" group at CEMES (https://www.cemes.fr/sinano/ ). A collaboration with the Physical and Chemical Modelling team at the Laboratory of Physics and Chemistry of Nano-Objects will
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engineering applications at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education on advanced machine learning methods and AI. The Section for Cognitive Systems
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
-liquid interface, as well as with other crystal defects, are therefore major questions that the PhD student will study during his/her doctorate. Other key questions arise with the evolution
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
contexte prébiotique. Il contribuera à mieux comprendre comment des peptides courts ont pu être stabilisés, organisés et potentiellement complexifiés aux interfaces solide/liquide et solide/gaz, ouvrant
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, MSc, and PhD level Write research articles, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer science
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advances the interface of quantum information science and condensed matter theory, particularly in areas such as quantum computation, quantum error correction, quantum simulation, tensor-network methods
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and RF front‑ends to drive OLEDs with high‑voltage nanosecond pulses, interface them with high‑bandwidth photodiode receive chains, and perform full EM and calibration workflows on bespoke PCB fixtures
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, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7