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to bridge the gap between early-stage quantum technology and industrial use. This requires cooperation of all layers in the quantum stack. We are particularly interested in a mix of three aspects: circuit
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. Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science
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the perspective of migrant workers’ lived experiences and from the perspective of the finance-technology nexus of platform companies The appointee will play a key role in project implementation and will be expected
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
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subject ranking) and is currently investing heavily in life science research (see https://www.helsinki.fi/en/helsinki-institute-of-life-science) . The research team currently consists of 4 post docs, 4 PhD
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to the climate crisis. We expect the successful candidate to have: completed a PhD in any area related to climate democracy, broadly defined, including humanities, social sciences, and/or natural sciences
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institute. The employment of the PhD researcher must be full-time (100%) and continuous. Research or part of it can be conducted outside the University of Helsinki, for example, in a governmental research
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, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology