33 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Aarhus University
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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computational humanities audiences. Qualifications Applicants should: Hold a PhD or equivalent qualifications in computational history, computational archaeology, computational social science, cultural evolution
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to demonstrate the following qualifications: Computational social science/machine-learning techniques Large-scale data collection Large-scale text analysis Large-scale visual analysis Professional interest in and
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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of Molecular Medicine. Your competences You have academic qualifications at PhD level, for example, in computational statistics, bioinformatics, data science, computer science, or similar areas. In addition
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Natural Language Processing, Machine Learning, or a similar area. Expertise in large language model architectures and training paradigms (transformer models, fine-tuning strategies, RLHF, etc.). Interest in
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mechanistic understanding of the structure-properties relations for complex heterogeneous materials by exploiting synergistic combinations of computational, experimental and machine learning methods. A key
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. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and