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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding
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propagation, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an
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information on the Swedish academic landscape including some aspects of life as a PhD, we strongly recommend skimming through the Young Academy of Sweden’s “Beginner’s Guide to Swedish Academia” A Beginner's
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, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an excellent mastering
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types
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4 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Materials Science and Engineering, 202100-2932 Research Field Engineering
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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, existing bioinformatic tools are not equipped to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in data science or related areas relevant for the PhD topic, or have completed at least 240 credits in higher education, with
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of AI from an Information Systems perspective. The person employed for this PhD position shall primarily devote himself/herself to his/her own research training which is intended to result in a doctoral