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that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and neural control pathways (e.g., CPG-like and
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of publications, experience in developing Computer Vision algorithms, experience in collaborating with non-experts (ideally historians), and experience in designing web interfaces. Please send a CV and
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seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and
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differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C++, and JavaScript
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on to successful careers after their PhD studies at ISTA. PhD students receive support through our mentorship and career development programs which focus on training in transferable skills for academia and beyond
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on deadwood proportion, decay stages, and forest succession. This position offers hands‑on methodological development, opportunities to publish, and collaboration within a dynamic international research
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approaches, our community develops human-centred solutions to some of the most significant challenges of the 21st century. Doctoral candidates will be based within one of the following host Research Areas
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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, materials science, electrochemical sensor development, data analysis, scientific documentation, effective communication, collaborative teamwork, and the full process of research article writing and submission
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors