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is provided by Head of Department Jesper Holgersson ([email protected] ) and Associate Professor Gunnar Mathiason ([email protected] ). Union information is provided by Anders Johansson
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://causalab.sph.harvard.edu/. The postdoctoral research fellow will work on causal inference projects under the supervision of Professor Miguel Hernan and Associate Professor Sara Lodi. The projects range from the development
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meetings. Contact information For further information, please contact: Associate professor, Alejandro Ordonez via mail ([email protected]). Deadline Applications must be received no later than 1
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of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing: Dr. Min Xu – Affiliated Associate Professor of Computer
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– Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics
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Rodrigues, Associate Professor and Lead Hyperthermia Physicist in the Department of Radiation Oncology. Dr. Rodrigues brings 18 years of research experience in computational modeling, applicator design, and
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to creating an inclusive and supportive working environment. Overview of the role: Reporting to Professor Zoltán Molnár, the post-holder will work within the Molnár research group on a Wellcome Trust
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the distribution of time varying across the project: 60-70% Research and implementation: design the Innovation Topology Embedding; develop and scale the topology-computation pipeline; integrate topological features
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. Jacqueline Quandt, Associate Professor, Department of Pathology & Laboratory Medicine, University of British Columbia. The successful candidate will join a collaborative and translational research environment
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge