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to the scientific, technical and transferable skills training and relevant monitoring activities organised each year. Candidates can review the admission process on the website: https://icn2.cat/en/careers/phd
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to the scientific, technical and transferable skills training and relevant monitoring activities organised each year. Candidates can review the admission process on the website: https://icn2.cat/en/careers/phd
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during the admissions period. As part of your application you will be requested to indicate the research group(s) in which you are interested in undertaking your PhD. Please be as specific as possible here
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directly. Important: During your application, you will be requested to indicate the research group(s) you are interested in accomplishing your PhD with. The fellowships are offered as part of the ICFO PhD
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during the admissions period. As part of your application you will be requested to indicate the research group(s) in which you are interested in undertaking your PhD. Please be as specific as possible here
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de comunicación Gran experiencia con el aprendizaje automático y el aprendizaje profundo Experience in the development of algorthms for medical signal and image processing. An excellent record
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physiological and behavioural data, including auditory signal processing and image and video analysis. The candidate will work in an environment of biologists, so they must be able to work autonomously. About the
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obligations. Qualifications In order to participate, candidates must hold a PhD, they have to proof international experience for 1 year, teaching experience and an excellent research record. They are expected
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and signal processing for UAV-based inspection. Proficiency in FPGA and hardware implementation (VHDL, Verilog). Ability to work with drones equipped with thermal and radiometric cameras. Experience in
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, at any point during and before the completion of the recruitment process, no longer meets all the necessary conditions, they will be required to file a request to withdraw from the process. Otherwise, as