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opportunities for growth and collaboration in public health research. Internally, we focus on creating networks for professional mentoring with skilled colleagues across different sections, including a network
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Job Description We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Skłodowska-Curie Joint Doctoral Network. This network consists
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as
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revolutionize communication systems for the quantum age. As quantum technologies rapidly advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both
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research facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional
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Job Description We are seeking candidates for a 3-year PhD project as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Consumer Energy Demand Flexibility in Electricity Use
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research facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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a newly formed collaborative cancer research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development