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for a PhD position in space and atmospheric dynamics. The position is for a fixed-term period of 3 years with the possibility of a 4th year with compulsory other work (e.g. teaching duties
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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related disciplines. Master students can apply provided they complete their final master
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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
must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural
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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
must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural
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computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in bioinformatics, machine learning/artificial
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master's degree or the equivalent in computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in
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computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in bioinformatics, machine learning/artificial