281 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" Postdoctoral positions in United Kingdom
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experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team
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to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 03/22/2026 Post Doc
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. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 03/14/2026 Post Doc
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and database synovial tissue and biospecimens. Perform histology/immunostaining (IHC/IF), RNA/DNA extraction, and gene expression profiling. Support QA audits, data analysis, and reporting. Maintain
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papers. An ability to analyse data in R, MATLAB or Python is essential. The candidate will join an international, multi-disciplinary team with cross site visits throughout the project. A PhD student also
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that helps drive translation of energy efficient data storage and neuromorphic computing innovations to commercial success across a range of sectors. The Post You will explore the dynamic processes that occur
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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to learning, decision-making, or other higher cognitive processes and experience of designing behavioural tasks and analysing behavioural data is also required. You will be able to demonstrate knowledge