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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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are already under progress within the project. The work will be done in collaboration with other PhD student already employed within ENLIGHTEN programme (Participants: Airborne, Airbus, Aniform, Autodesk
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 25 days ago
. Applicants should have an academic degree in life science plus a PhD or equivalent doctoral degree in any area of Biology. Candidates should have a good publication record and very good command
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testable computational study, communicate openly about negative as well as positive results, and work effectively with collaborators who use different scientific languages. You hold a PhD in bioinformatics
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Candidates must have a PhD in physics or mathematics and research experience in one or more of the following: cosmology, gravity, or quantum field theory. Experience in cosmology and scientific programming
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the Fellowship Regulation of Fundação para Ciência e Tecnologia; - PhD in Computer Science or closely related field; - Candidates should have prior research experience on probabilistic methods in coding theory and
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FLAIR activities (attend regular meetings) and work closely with all members of both teams (PIs, PhDs, and postdocs) (Help with) supervising MSc and BSc theses related to the project Synthesize and
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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for applications in quantum information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and enhance the group’s overall