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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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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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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 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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of internet users? Do you want to conduct research with real societal impact while advancing open science? If so, come and join our collaborative research environment at the intersection of web security
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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
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Offer Description Project description Climate change is exerting strong selection on wild populations, with many species showing shifts in the seasonal timing of development. One particularly vulnerable