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ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV
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your online application with the following documents: CV including publication list Motivation letter Contact details of two referees Please note that we exclusively accept applications submitted through
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models or methods (a.o. LCA, carbon calculation, material flow analysis, input/output analysis). Demonstrable experience developing and publishing research related to carbon calculation applications
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the research, development, and application of systems for pathogen genome data curation, analysis, and sharing. You will join the Epidemiology & Virus Evolution (EVE) group at Swiss TPH, working alongside
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elliptic versions), using shuffle algebra tools and with an eye toward applications to combinatorics, integrable systems, algebraic geometry and categorification. They should also actively contribute
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research (e.g., geo-spatial data science, street view imagery segmentations). Co-developing applications, features, datasets, and use cases on public datasets of street-view imagery and longitudinal cohort
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their scientific skills. The candidate should be currently enrolled in a life sciences program (e.g., BSc or MSc).
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strategically transition promising ideas into production-ready solutions. Finally, you'll engage in collaboration and mentoring by pair-programming with master’s students, sharing best practices, and working
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use to enable precision medicine diagnostics for the patient and couple it with high-field MRI imaging to extend towards in-vivo applications. The project is interdisciplinary and the PhD student will
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data