10 parallel-and-distributed-computing-phd Postdoctoral positions at UNIVERSITY OF HELSINKI in postdoctoral in Finland
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candidate has a PhD in quantum computing or in computer science with a quantum perspective. Skills to implement quantum programs in QisKit, Qrisp, or other major quantum programming environments are essential
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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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Schleuning (Senckenberg Biodiversity and Climate Research Centre, Germany). Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics
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cell models, retinal organoids, and animal models, creating a unique translational pipeline from gene discovery to therapy development. The successful candidate will join a growing research programme
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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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
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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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work as well as the teaching skills necessary for the position. PhD diploma is to be acquired by the first day of employment. The period following the completion of doctoral degree must not exceed five
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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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to sustainability. Communicating the results in scientific publications and conference presentations Co-supervising PhD and MSc students working on the project Contributing to new research ideas and (co)-applying