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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Profile: Documented expertise in computational biology, NGS data analysis, processing of experimental datasets of murine and human origin, network analysis and investigation of multi-omics datasets
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Your Profile: Documented expertise in computational biology, NGS data analysis, processing of experimental datasets of murine and human origin, network analysis and investigation of multi-omics
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personalised media experience, as formulated in SMPTE ST 2110 suite of standards for video, audio and data over IP. This research asses the implications for public interest media of these fundamental changes and
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culture that prioritizes a healthy work-life balance. https://investinodense.com/career-in-odense/ This video can give you a first impression of the life of an international and researcher at SDU: https
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and pose estimation from ultrasound video, as well as designing a closed-loop robotic system for autonomous ultrasound scanning and navigation. In addition, the candidate will support the dataset
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computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro. Apart from
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processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro. Apart from the time at DTU there will be
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and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and