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reliability Computational Neuroscience Scientific communication Excellent command of English Experience in human data analysis (psychophysics and EEG/MEG specifically) Python Where to apply E-mail laura.dugue@u
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24 Apr 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biological engineering Biological sciences » Biology Engineering
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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researcher will join the ANR SCHEMA project team, which brings together researchers, research engineers, and PhD students from various laboratories and disciplines (LPG, IPAG, LaMPEA, LAPCOS, MONARIS
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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: A PhD in a relevant discipline, such as kinesiology, biomechanics, engineering, or rehabilitation science Additionally, the ideal candidate will possess the following preferred qualities: Expertise in
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. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Strong background in laboratory experimentation (microfluidics involving microbes, reactive
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, physiology, biomedical engineering or a closely related discipline (or a submitted PhD thesis currently under examination), Demonstrated technical expertise in at least two of the following: systems
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: A recent PhD (or MD) degree in a relevant discipline, such as decision science, health services research, epidemiology, applied mathematics, or industrial engineering. Expected graduation in Spring
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, collaborate openly across institutions, and have the stamina to push through the engineering challenges that come with real-world physical AI. Your experience and profile: a PhD degree in Computer Vision