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, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR. Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc. Proven research ability as evidenced through a portfolio
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need optimally. Finally, in a multi-site study, we will test whether using this system and escalation pathways leads to better outcomes. We are seeking an enthusiastic, ambitious, clinical researcher
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submitted their doctoral thesis for viva voce examination not more than four years prior to the Leverhulme ECF application final closing date (anticipated to be 19th February 2026). Candidates are strongly
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to achieve self-sufficiency in AI hardware and software highlight the intricate interplay between technology, society, and politics in this era of technological competition. Contextualizing AI within a broader
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at designing and testing next-generation CAR-T cells that can overcome the major barriers facing cell therapies for solid tumors—especially on-target, off-tumor toxicity and limited T cell persistence
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bioinformaticians at all stages of the analysis project workflow Desirable criteria Excellent computational skills applied to HPC, big data, software development and web technologies Experience in teaching
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possible achievements in research or other fields An autobiographical essay (max. 1 page) A concrete study or research plan at your selection of US top universities. Your application process to universities
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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who is at risk of deterioration. We will then investigate how to use this information to escalate the care of women in need optimally. Finally, in a multi-site study, we will test whether using
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experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Information The work environment is the laboratory. Physical demands include repetitive fingers/hand motion from