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and flexible mind set to drive the project. Key attributes of the successful applicant include: BSc and PhD in an appropriate field Experience in thrombosis and haemostasis research Experience with
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. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability
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sciences discipline, you will be self-motivated, imaginative and able to plan and deliver a research project. You will have a PhD (or be near completion) in one of the above disciplines and have experience
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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in the ongoing drive to reduce animal use in scientific research. Applicants must hold a PhD in Cell Biology or related discipline and have a track-record of success, as indicated by first-author
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doctoral/PhD studies Research competence and initiative proven through international publications Experience in research management and in leading project staff Didactic skills / experience in e-learning
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Specification Essential Criteria: Qualifications A good first degree in Chemistry. A PhD (or be close to submission) in a relevant area of physical chemistry or chemical physics. Experience Experience in
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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scientific research. Applicants must hold a PhD in Cell Biology or related discipline and have a track-record of success, as indicated by first-author publications in well-regarded journals and presentations
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer