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Field
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Requirements for the position are: Bachelor’s or master's level education from natural or social sciences within relevant fields, e.g. sustainability science, geography, environmental science, computer
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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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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
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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