50 cloud-computing-associate-professor-"https:"-"https:"-"St" Postdoctoral positions in Sweden
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Deadline 2 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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information, please contact Associate Professor Maria Hamrin, maria.hamrin@space.umu.se , tel. +46 90 786 6036. We look forward to receiving your application! Where to apply Website https
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position, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Emma Johansson, Associate Professor at the Lund University
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Studies (LUCSUS), in collaboration with Elina Andersson, Associate Professor at LUCSUS. Position Instructions Research Focus (90%) The postdoctoral position will study the provision of grain seeds, with a
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delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with Laszlo Bakó (molecular biology) and Torgeir R. Hvidsten (comparative genomics). The environment provides
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in health and disease, with a particular focus on dietary patterns and chronic diseases. The group is led by Associate Professor Emily Sonestedt and consists of a small, dynamic team of researchers
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-2024-COG no. 101171587) and is led by the Principal Investigator Yafa Shanneik, Professor of Islam and Society at SOAS , University of London. The project examines how state-led genetic healthcare
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with high productivity and the research group is inter-professional. The Perinatal laboratory and research group is led by Professor Bo Jacobsson. Our research group is located at the University
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features