10 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"Kyoto-university" Postdoctoral positions at University of Lund in Sweden
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Centre for Sustainability Studies (LUCSUS), in collaboration with Elina Andersson, Associate Professor at LUCSUS, and Hilary Faxon, Assistant Professor of Environmental Social Science 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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foundations of society in the wake of today’s divergent mobilizations. The project is led by Professor Mia Liinason. Read more about the project: Gender Struggles in the New Conjuncture. We are now looking for
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for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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technology at high repetition rate in new wavelength ranges, with the help of multi-pass cells, novel nonlinear devices and pulse/beam shaping. Work duties The main duties involved in a post-doctoral position
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, FACS and immunohistochemistry. You will also publish scientific articles in high-impact journals in the field, attend international conferences and develop and assist in other work duties related with
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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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