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commensurate with the grade of the post Essential Criteria A PhD in a relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools
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://www.academictransfer.com/en/jobs/363733/phd-candidate-multimodal-and-ag… Requirements Specific Requirements Profile We welcome candidates with an MSc or equivalent expertise in artificial intelligence, medicine, computer or
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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design
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computer science/engineering with expertise in a security or privacy research topic At least six years of relevant research experience in computer security, excluding the years spent obtaining a PhD or equivalent
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literacy, - fulfillment of obligations arising from the Academic Standards of the Faculty of Arts at UKF in Nitra. LanguagesSLOVAKLevelMother Tongue LanguagesENGLISHLevelExcellent Additional Information
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Computer Science, a Bachelor of Science degree in Cybersecurity, a Master of Science degree in Computer Science, and two multidisciplinary PhD degrees in Computer Science and Information Systems and Engineering and
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-cultural organizational psychology Equipment Utilized Statistical software: SPSS, R, Mplus, PROCESS Physical Demands and Work Environment Computer access and access to aforementioned software Overview
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Cybersecurity, Privacy and Trust Software Engineering and Programming Languages Computer Systems and Architecture Cloud, Edge and Distributed Computing Computer Networks and Internet Technologies Human-Computer
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railway infrastructure and natural hazards along the Ofoten Line. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25
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learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems. Are you motivated to take a step