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cutting-edge research in quantum sciences and fosters future innovation. As a doctoral candidate, you will be part of the Vienna Doctoral School in Physics (VDSP), a vibrant community of over 100 quantum
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spectrometry; coordinating your work within a national and international network of collaborators while working in an ambitious, motivated, multidisciplinary team of veterinarians, clinicians, geneticists
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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networking activities organized by the school. There are opportunities to interact with several UK and EU collaborators and travel to these labs for personal development opportunities. Supervisors:Professor
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Research - Communication (Level 2) Research - Creative thinking (Level 2) Research - Initiative (Level 2) Research - Networking (Level 2) Research - Results orientation (Level 2) Research - Teamwork (Level 2
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offering high-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
connectivity requirements for ensuring reliable and seamless communication in managing a coordinated robot fleet. Connect across the robot-centric network to ensure high-fidelity synchronisation while performing