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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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dual focus on method development and application on large-scale data sets, with the balance dependent on the candidates’ skills and interests. We have access to thousands of whole-genome-sequenced cell
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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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, 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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solving You are highly experienced in a research environment with a well-established publication track record You have formal training in mathematical, statistical, and machine-learning-based analysis
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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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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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, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning/deep learning
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machine-learning-based analysis of complex data sets, such as dimensionality reduction, hypothesis testing, clustering, etc. Experience with atlas-scale single-cell data analysis, such as cell type
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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