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models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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are leading internationally in their respective disciplines and provide an exciting and collaborative environment, with room to learn and develop professionally at the frontier of academic research. You will
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., in Python. A keen interest in interdisciplinary research. An excellent command of English, as you’ll be working in an internationally diverse community and with international partners. Ability to learn
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to apply Website https://www.academictransfer.com/en/jobs/363316/11-phd-positions-in-the-excelle… Requirements Specific Requirements An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep
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offers an excellent opportunity to contribute to the national Open Science agenda while advancing research on transparency, reproducibility and responsible research practices. Where to apply Website https
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survival time of the uncured depending on covariates (risk/prognostic factors, treatments). Your work will focus on developing statistical learning approaches that allow for high dimensional covariates and a
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their research projects. Where to apply Website https://www.academictransfer.com/en/jobs/362870/phd-in-entanglement-generation-… Requirements Specific Requirements A master’s degree (or an equivalent university
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated