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dark matter) is a tunable microwave cavity experiment designed to search for axions with masses above 20 μeV, and has pioneered a number of successful innovations in resonators, sub-quantum limited
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a flexible
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pilot a robust, replicable, and sector-sensitive framework for quantifying realised emissions outcomes across key policy domains, aligned with EU reporting requirements and national Climate Action Plan
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Group or Departmental Website: http://marketdesign.stanford.edu (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford
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biology techniques with innovative therapeutic approaches to generate rationally designed novel immunotherapeutics for cancer. The successful candidate will work on projects investigating immune regulation
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(SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Europe by
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze