9 parallel-processing-"Study-Group" Fellowship positions at Queen's University Belfast
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bridge these different regimes in a unified approach. Specifically, the Research Fellow will use embedding schemes developed by the team members in Belfast and Toulouse to study photon irradiation of
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plasticity in prostate cancer. The successful candidate will develop and apply molecular, genomic, and functional approaches to study adaptive tumor states and identify novel therapeutic vulnerabilities
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platform’s technical integration. The post holder will play a critical role in bringing together sensor dies, packaging, optoelectronic systems integration, calibration, and signal-processing workflows to
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economically sustainable and transparent agri-food sector. The successful candidate will work within a multidisciplinary team to deliver both a longitudinal household study and an intervention trial to
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2.5-years appointment. This post will support the delivery of the Genetic Links to Anxiety and Depression – Mental Health Goals (GLAD-MHG) Study, one of the UK’s most ambitious precision psychiatry
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processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a proactive attitude and eagerness to
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description About the job: Applications are invited for a two-year, fixed-term Research Fellow position in the group of Professor Swadzba-Kwasny, funded through an EPSRC Materials Innovation Partnership
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to contribute as a proactive and dynamic member to a multi-disciplinary academic medicinal chemistry group towards the development of USP inhibitor. The successful candidate will work with the
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unprecedented LSST+TiDES transient sample to study how transients correlate with their environments and measure rates of different classes of transient. Simulations and selection effects for SN Ia cosmology