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condensates of receptors occur at the cell membrane. It is the goal of this PhD project to establish a bridge between the dynamics of transcription factors with the formation of condensates to understand how
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We are seeking a highly motivated and dynamic PhD student, who is enthusiastic about neural dynamics and sensory processing. The focus of our research is how the combination of sensory signals and
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modeling of dynamic systems. Experience with machine learning or AI methods applied to robotics (e.g. reinforcement learning for control, or data-driven modeling) is a plus, especially if applied in
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on a dynamic and transformative collaboration with the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a
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network (O-RAN); and quantum communications. The group features a dynamic and international working atmosphere and is located in Aalborg, an emerging peaceful city in the northern part of Denmark that tops
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limitations of current EMG-based techniques, particularly in dynamic movement tasks. The PhD student will focus on the design, development, and validation of the HD-sEMG/ultrasound system. This includes
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PhD Position in Hydrogen/Deuterium Exchange Mass Spectrometry to Study the Regulation of Lipoprot...
Do you want to join one of the strongest biomedical mass spectrometry research environments in Europe? Here is an excellent opportunity to work on an exciting and challenging project in
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outstanding candidates, who are interested in joining the group as a PhD student. The position is available from September 1, 2025, or as soon as possible thereafter. Application deadline: 28 July 2025 at 23:59
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-based focus, and continued education and knowledge dissemination. Job description The project addresses the fundamental question of how to trust a neural network that controls a dynamical system. Since
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant