407 data-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" Fellowship positions in United Kingdom
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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attached 'Job Description' document below to view the full information for this post, including the essential and desirable selection criteria. Once you have reviewed this document, you may apply
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse
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successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication
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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery