310 data-"https:"-"https:"-"https:"-"https:"-"KU-Leuven" Postdoctoral positions in United Kingdom
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experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research projects; develop ideas for generating research income, and present detailed
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publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible research assessment - Research - Cardiff University Applications may be
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participate in the development of a high-throughput data analysis pipeline and the development and testing of hypotheses. Key responsibilities Leading the development of mathematical models of post
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the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
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project management; adapt existing and develop new scientific techniques and experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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applications. This will include applying expertise in inorganic polymerisation catalysis and organic functional group chemistry, analysing experimental data, and working closely with project partners. The role
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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental