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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . The Division
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adults. The student will handle and analyse large amounts of data from brain imaging (MRI and PET), cognitive tests, blood-based biomarkers; and perform statistical analyses. The appointment aims at a PhD
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trained in advanced epidemiological and statistical methods and will analyze data from large, nationwide, register-based cohorts, as well as cohort and case-control studies with extensive information from
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vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid
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to advance precision medicine and clinical decision support. At the same time, these application areas present new challenges for statistical learning methodology. They involve high-stakes decisions with
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, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
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specialization in forest/plant ecology, tree physiology, tree - microbial interactions). Familiarity with molecular ecology, meta-barcoding and bio-informatics is considered a merit. Knowledge of statistical
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an asset. Additional qualifications Working knowledge in statistics and infection biology is highly appreciated. Part of the DDLS program, to be employed as a PhD student, the applicant must be
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diversity and mutational robustness, the student will conduct a variety of statistical analyses. Further projects could include assessing whether adaptive substitution rates relate to degree of mutational