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competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read
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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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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
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using online testing tools. Analyze complex multimodal neuroimaging data using advanced processing software (e.g., FreeSurfer, FSL) and statistical methods. Prepare scientific manuscripts for publication
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
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physics, electrodynamics, statistical physics, and fluid dynamics). To succeed as a PhD student, you must be creative and devoted to work. You must also have good interpersonal skills, be resourceful, and
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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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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