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quantum systems and quantum networking theory. Experience with numerical modeling of open photonic quantum systems. Experience with scientific computing using Python and/or Julia. Desired qualifications
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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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into the cilia research field and networking. Access to an international collaborative environment that can be used for a mandatory up to 6 months research mobility. Access to state-of-the-art equipment
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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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. The selected candidate will embark on a research journey within a supportive and resource-rich environment, characterized by state-of-the-art facilities and a network of leading academics and industry
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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willingness to collaborate, network, and interact with other researchers, and the ability to disseminate research in seminars, conferences, and teaching classrooms. We expect you to lead and undertake
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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interaction, 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