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Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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modelling, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research
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, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research environment
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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning
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Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 12:00 (Europe/Stockholm) Country Sweden Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded
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microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
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://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description A major research area of the division of Atomic Physics is the generation and application of extremely short light pulses in
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, optimizing, and deploying AI models on HPC and GPU-based systems. Provide guidance on performance optimization, scaling, and efficient resource utilization. Contribute to architectural and design decisions in
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This PhD position is funded by the Swedish Research Council (VR) and offers an exceptional opportunity to contribute to cutting-edge research in continuous-variable (CV) quantum computing. You will