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to propose an electronic wave packet that significantly increases the quantum yield of the photo-conversion reaction. - simulation of the quantum dynamics of the photochemical reaction induced
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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and Climat program as well as other ongoing projects involving the supervisors, such as the OceanIA team of INRIA https://oceania.inria.cl/ . Finally, he/she will also work closely with a PhD student
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will develop and operate a reproducible computational workflow that combines molecular and periodic electronic-structure calculations, and when appropriate time‑dependent methods. The workflow will be
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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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-Marseille Université (AMU), CNRS and Centrale Marseille (ECM). The LMA employs around 110 people, including 70 permanent staff and some 40 PhD students/post-doctoral researcher. The LMA has nationally and
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling