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of neuromorphic 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
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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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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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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
dissecting how protein and glycan assemblies drive signaling and cell communication. Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer
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, targeted mechanical weed control, etc.) profitable, contributing to increased biodiversity locally and reducing the need for insecticide use. Responsibilities and qualifications The PhD projects are funded
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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of both worlds in targeted applications. PhD candidate responsibilities: The PhD candidate will be responsible for conducting research and implementation in areas such as: Infusing computer vision models
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language). Any additional documents required to meet the requirements of the targeted Recruiting Institution (Please use “surname_name_DC11.pdf” as the file name) You may apply prior to obtaining your
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additional documents required to meet the requirements of the targeted Recruiting Institution (Please use “surname_name_DC11.pdf” as the file name) You may apply prior to obtaining your master's degree but
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diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also create multi-fidelity predictive