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if applicants can document: a track record of research publications of a high international standard commensurate with the length of the applicant’s academic career experience of participating in national and
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(e.g., laser systems, modulators, optical signal processing). Proven independence in research, with a track record of creative problem-solving. A curiosity-driven mindset, eager to explore uncharted
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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the Experiment grant. The candidate must have: A PhD degree in a relevant field (e.g. Molecular Biology, Neuroscience). A proven track record either in spatial transcriptomics or extracellular vesicle biology. The
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coordination skills, and the ability to collaborate effectively within interdisciplinary research teams. A proven track record in contributing to the preparation or acquisition of external research funding
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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based on the large quantitative data recourses combining, e.g., methods from complex-systems science, data science, and causal inference. Contribute to scientific publications and engage in
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includes more than 10 tenure-track assistant professors, as well as some 25 Ph.D. students, organized in four main research groups and a few centers. For more on the Department, please consult our webpage