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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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Network SPARK for the doctoral project ‘Spatiotemporal Hybrid Light–Matter States’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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. Depending on the candidate's background and research direction, approaches may include computer vision, representation learning, graph neural networks, multimodal learning and scientific machine learning. A
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9 Sep 2026 Job Information Organisation/Company Łukasiewicz Research Network - Krakow Institute of Technology Department HR Research Field Other Researcher Profile Other Profession Positions Master
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, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration between the National Health Care
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University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab centers around understanding how species interactions change over time and space, with a focus on butterfly
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 11 days ago
research scientists who are leaders in their respective fields Join our network Becoming part of our interdisciplinary quantum materials community and our unique program will allow you to establish
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Join a European Doctoral Network to Reveal New Principles of Kinase Regulation VIB Center for Structural Biology (VIB-CSB), Vrije Universiteit Brussel, Belgium We are seeking an outstanding and
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure