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broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful candidate will be required
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Postdoctoral Position in the Research Unit for Robophilosophy and Integrative Social Robotics (RISR)
where Humanities research is fully included: the project combines philosophical expertise (social ontology, social phenomenology, axiology, ethics), anthropological field research, and constructive design
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cooling. However, while permanent magnets generate an everlasting magnetic field at no energy cost, it is not a trivial task to decide how to arrange them in an assembly such that, combined, they create a
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, contributing valuable insights into viral diversity. The position offers the opportunity to work at the forefront of sugar beet research, combining molecular biology and plant pathology to address a key
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central nervous system (CNS) of relevant vertebrates including humans. The premise is that the combined knowledge of receptor specificity of (re)emerging viruses and glycan repertoires expressed on relevant
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fluxes and is updated annually and published at the UNFCCC COP meetings every year. The Combining LAnd-use, modeling and Remote-sensing to Transform carbon budgets (CLARiTy ) project will reduce the
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of balancing selection is. In this context, we have launched the BalanSe ANR to better understand the importance of balancing selection in non-model organisms. This project will rely on a combination of
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group, you will work within the broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
collaboration between our group and the University of Vienna aiming to study the effects of gravity on quantum states of light by combining the strengths of our two groups: precision interferometry and quantum
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical