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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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qualifications needed (particularly the habilitation), and as a chance to develop a distinct, visible research profile within the academic community. Completed domestic or foreign doctoral/PhD studies in the field
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Institute. This role is especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post
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, devising and conducting original experiments. You should have a PhD degree in soft condensed matter physics or to be close to submission of doctoral thesis (Grade 7) or a Master’s degree in physics
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, devising and conducting original experiments. You should have a PhD degree in soft condensed matter physics or to be close to submission of doctoral thesis (Grade 7) or a Masters degree in physics
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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Institute for NanoScience Discovery and is available from October 1st, 2025. About you Applicants must hold a PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research