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Duties Provide academic and personalised support to the students under the Student-Athlete Learning Support and Admission Scheme; Plan, coordinate, and organise local and non-local student
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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Attend PhD courses Write scientific articles and your PhD thesis Teach and disseminate your research To stay at an external research institution for a few months, preferably abroad Work for the department
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to education environments. One such innovation is Terracotta (https://terracotta.education ), a plugin to the learning management system that makes it easy to conduct experimental research studies in real course
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 26 Mar 2026 - 18:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 7
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of up to one year may be required. Language requirements Not required for the PhD programme Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de/applying
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programs – with focus on PhD schools in the Hamburg area (IMPRS, DASHH, PIER, …) Explore funding opportunities in education and acquire 3rd party funding Develop and implement a program to host undergraduate
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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Integration & Word LearningThis PhD project investigates how attention to multimodal signals contributes to word acquisition. You will analyse: word-learning trajectories across repeated exposures; the role