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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
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