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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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, PhDs, and Engineering degrees). These programmes are available through initial training,continuing education, work-study formats, or various accreditation pathways, both on-site and via distancelearning
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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travel. You will answer it and optimized the system for maximum antimicrobial effect. This position brings microbiology into a group built on chemistry and biophysics, and it is the expertise we do not
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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Date 09/24/2026 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data
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qualitative data (including feedback from pupils and teachers). The goal is to then further optimize the intervention before implementing and evaluating an improved version in a new trial. Within the framework