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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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, in vivo electrophysiological or calcium recordings, and computational analysis. About the employment This is a full-time, term-limited employment of 12 months’ duration. Stockholm University applies
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1-2 Season employed fieldassitants by the Department of earth and enviromental science. (PA2026/808)
in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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systems, Applied AI/ML, Computer Security and Cryptography. The division runs several research projects through different large research collaboration platforms and arranges extensive workshops and seminar
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required for daily work. Preferred qualifications • Relevant university education in computer science or IT, or other technical education such as an engineering degree. • Education in Python, UI/UX, testing
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of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in Religious Studies/Theology. The Department of Historical
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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interdisciplinary research environment More information about Jönköping University as a workplace, conditions and benefits on www.ju.se . Required Qualifications Applicants must have been awarded a PhD in Computer
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studies including use of computational analysis pipelines, recombinant antibody production, and immunochemical analysis. The research, with a focus on a clinical cohort undergoing such therapy, is carried
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), SLS (Switzerland), PETRA III (Germany), and the European XFEL in Germany. The project is computational. The successful candidate will have the opportunity to: Establish new deep-learning-based