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Field
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, and is eager to take ownership of their role in building QIA's prototype quantum network. The successful applicant has a background in computer science, computer engineering or related fields, with
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skills: teamwork, ability to motivate co-workers. Good communication skills. other skills: computer operation, (Word, Excel, Origin, EndNote, creating graphics, image processing), experimental data
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
The candidate is expected to hold an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or informatics. The candidate should have some experience in either: • In a computer simulation
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and applied image/data processing. Profile You hold a Master degree in Computer Science, Electronics Engineering or you will have obtained it by the time you start work. You can demonstrate good study
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A competition-funded PhD studentship is available in the School of Chemistry at the University of Birmingham to develop and apply nuclear magnetic resonance spectroscopy and imaging to advance
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of computer science and engineering. Research areas incorporate digital signal and image processing, sensor network, Internet of Things, healthcare as application area, multimedia, image and video processing, cyber
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6 Nov 2025 Job Information Organisation/Company Universidade de Vigo Department T13 Telematic Engineering Research Field Engineering » Communication engineering Researcher Profile Recognised
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13 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Neurosciences » Neurobiology Neurosciences » Neurochemistry Researcher Profile First Stage
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which mimics the ageing process. Moreover, we will apply state-of-the-art Single Cell Proteomic technology (with Alex Von Kriegsheim, IGC) on oocytes to profile the global protein expression and aim
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for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image