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design of RNA-ligands to establish computational methodology on how to harvest the potential of large, chemically accessible combinatorial spaces for the design of RNA ligands to determine the binding
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/brenk/162656/paving-way-rational-rna-ligand-design . The main objectives for the advertised PhD position are to carry out structure-based design of RNA-ligands to establish computational methodology
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reduced if you have previously been employed in a recruitment position. About the PhD training: As a PhD research fellow, you will take part in the PhD programme at the Faculty of Social Sciences, UiB
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part in the PhD programme at the Faculty of Social Sciences, UiB. The programme corresponds to a period of three years and leads to the PhD degree. To be eligible for admission you must normally have an
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and computer science, learning sciences, social sciences and law. The project will develop new knowledge about a trustworthy use of AI in the educational sector where transparent and fair AI systems
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
countries. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
, computer science, applied mathematics or related disciplines. Master students can apply provided they complete their final master exam by 15.08.2024. It is a condition of employment that the master's degree has been
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of the project and its feasibility within the framework of the PhD program and research fellowship. Research environment: The research environment’s ability to develop the candidate, relevant publication activity