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postdoctoral researcher to join the Distributed and Intelligent Connectivity (DISCO) research group and contribute to applied research at the interface between 5G/6G networking, AI and digital twins, with a
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investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode workflows. Research
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geometry, fluid mechanics, scientific visualization, HPC and distributed computing. Substantial experience in programming (i.e., fluent in two or more common computer languages). Demonstrated experience in
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Job Description Safety and effectively monitor, operate and maintain facility systems and equipment, including Fire Tube Boilers, Steam Distribution and Condensate Return Systems, Packaged Water
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the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
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-world medical use case to validate the long-term application of Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) in operational hospital environments. The project represents a major step
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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principles that govern product distribution and catalytic performance. Close collaboration with theory will be central to guiding and rationalizing the experiments, while synchrotron-based techniques will
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studies. Required skills: Experience in managing multidisciplinary teams in an international and intercultural environment, including technical and scientific staff PhD in Computer Science or a related