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Field
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-solving, and collaborative mindset Highly desirable Experience with distributed training or ML systems Knowledge of privacy-enhancing technologies and parallel programming Experience with multilingual AI
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-holder will also optimise human DRG cultures and perform electrophysiological and functional characterisation. In parallel, the post holder will use the newly developed human induced pluripotent stem-cell
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming
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workshops and producing accessible toolkit resources, with a proof-of-concept focused on diabetes prevention for women of South Asian and Black African heritage. In parallel, the post holder will work
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the BEAT project. In parallel, qualitative research methods, especially from affective interaction design, are used to capture the emotional and experiential aspects of navigating urban spaces. These methods
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in nematodes. Much of our work now focuses on the evolution of egg-laying behaviour and the transitions to viviparity. In parallel, we are also interested in characterizing the natural history, ecology
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workshops and producing accessible toolkit resources, with a proof-of-concept focused on diabetes prevention for women of South Asian and Black African heritage. In parallel, the post holder will work
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
. • Is motivated to develop new methods and biological insights in parallel. Especially Excited If You Have • Experience with bacterial genetics, functional genomics, or drug-response assays. • Familiarity