1,838 data-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" Fellowship positions
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and
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submitted at any time. For information about eligibility and selection criteria and application open and closing dates, see: Humboldt Research Fellowship - Alexander von Humboldt-Foundation The information
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researchers from all disciplines. For information about eligibility and selection criteria and application open and closing dates, see: Our Funding Portfolio | VolkswagenStiftung The information listed here is
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. The Fellowship is designed to support postdoctoral researchers after their PhD and before their first faculty appointment. For information about eligibility and selection criteria and application open and closing
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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About the job: The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data
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Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyze new data and synthesize existing data sets. The four Work Packages focus on 1
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About the job: The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated