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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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mobility for maximum enzymatic activity on cellulose and other carbohydrate polymers. Methods: Bioinformatic (sequence and structure based) selection of CBMs and LPMOs. Structure-based protein engineering
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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converters. Very good analytical skills and methods Experience with simulation and design tools such as Plexim, PSIM, FEM tools, Altium Designer and MATLAB Experience in the development, troubleshooting and
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. Applicants must hold a relevant master’s degree for their chosen PhD project and meet MedUni Vienna’s official admission criteria. Research experience or familiarity with specific methods may vary depending
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; knowledge of statistical and empirical methods; programming skills are an advantage Ability to work in a team; ability to work under pressure; independence, communicative competence in dealing with colleagues
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, business informatics, or business analytics Initial practical experience in academic writing and research methods in the field of Operations Research (esp. exact and heuristic solution methods) Teaching
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master's or diploma degree in the field of quantitative-oriented business administration, business informatics, or business analytics Initial practical experience in academic writing and research methods in
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, business informatics, or business analytics Initial practical experience in academic writing and research methods in the field of Operations Research (esp. exact and heuristic solution methods) Teaching
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research. Your tasks Further development of evidence synthesis methods for health services research in the field of orthopaedic diseases Independent conduct of scientific research with the aim of further