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Relevant academic or industrial research experience in either: Hardware accelerated custom computing. RISC-V design/prototyping To be successful at shortlisting stage, please ensure you clearly evidence in
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academic or industrial research experience in either: Hardware accelerated custom computing. RISC-V design/prototyping. This is not an exhaustive list. To be successful at shortlisting stage, please ensure
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two complementary and clearly identifiable objectives. The first is to design, implement and analyse a large-scale screen in human cells in order to identify novel suppressor tRNAs able to read through
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environment is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ). You will work within the Materials Science group, part of the Theory & Modelling unit, with Assistant Professor
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related field Interest in social interaction, urban spaces, and future technologies Knowledge of and/or practical experience with qualitative, participatory, or design-oriented research methods Interest in
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pattern analysis, or decoding methods to neuroimaging data. Experience with fMRI and/or fNIRS analysis, particularly multivariate or representational approaches. Experience developing or working with real
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with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
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reports, and summaries of results, as well as contributing to scientific publications and project-related deliverables. Role in the project: Position 1 - Design and conducting experiments: synthesis and
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and experiment with creative and responsible applications of AI. They will document and analyse findings from the Prato Living Lab and feed them into CULTURAI's wider comparative research, policy work
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discipline. 2. Have or be about to obtain, a PhD in a relevant subject. 3. Have relevant research experience in either embedded systems design or FPGA or ASIC hardware design, along with demonstrable expertise