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Job description:Title: DC12, PhD fellowship in applied mathematics - Optimal Transportation to improve databases integration.Researcher profile: Doctoral candidate.Research field: applied mathematics
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MSc programmes and PhD students in the shipping group. This post is available from 01.06.2024 and is funded for 12 months in the first instance, further funding to support the post may be available. A
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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an open post-Doc position in mobile communication systems. More details about this opportunity are presented below. Requirements: a) Researcher with PhD degree in electrical engineering or related areas; b
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optimisation and machine learning code, understand transportation modelling approaches, read and digest literature on the topic and write academic papers. Essential requirements: PhD or equivalent qualification
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Job Description We are looking for a Research Fellow who will be responsible for designing and implementing intelligent transportation systems technologies and protocols. Responsibilities
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. Particular focus will be on multi-robot and multi-agent problems (e.g., navigation, cooperative transport, team-based agent games). There will also be opportunities to contribute to international collaborative
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). Application. A PhD in an ultrahigh vacuum-related field is required. Low temperature scanning probe or photoemission microscopy expertise is recommended. Please send your application (containing a cover
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chiral transport, optical rotation, etc. 2. Study the polarization characteristics of optic in various active materials nano- /micro- structures from the point of view of photophysics and structural design
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educational achievements of the PhD candidate by mutual agreement with the supervisors, with whom the candidate will collaborate closely to identify, develop, and carry out the research project. PhD candidates