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and more effective therapies. However, their successful application requires chemical reactions that convert prodrugs into their active forms in a controlled manner. The aim of this project is therefore
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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information and affective processing, decision-making by patients and clinicians, approach-avoidance tendencies, cognitive control, emotion regulation, motivation, and executive functioning.
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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Engineering Department at TU Delft where you will be a part of both the Computational Biomechanics (Seth) and Neuromuscular Control (Mugge) Labs. In addition to research, there are many opportunities to develop
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algorithms on a four qubit quantum processor, realized baseband control of single spins, and demonstrated entanglement between remote spin qubit registers using spin shuttling. As a PhD researcher, you will
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stimuli-responsive soft material. Controlled external stimulation will deform the material and generate spatially and temporally defined forces at the cell–material interface. You will develop analytical
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control of neuronal survival in Parkinson's disease (PD). Neurons in the substantia nigra pars compacta are selectively lost as PD progresses. Our work on the BCL2 protein family has identified MCL1 as a
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to backward erosion piping. You will investigate how this approach can be further developed to capture the physical processes that govern pipe formation and progression, while connecting detailed modelling with
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experiments into new regimes, using quantum control over heavy objects via a superconducting qubit to build quantum superpositions of unprecedented size. You will develop skills to become an expert in complex