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that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of employment decision. Under special
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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wildlife migrations, altered vegetation, and disrupted San hunter-gatherer territories—that not only shaped and continue to shape Kalahari landscapes, but also the very conditions of anthropological
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researchers, and contribute to proposals or shared research infrastructure when relevant. Qualifications Candidate profile: Applicants must have completed all requirements for a PhD before the start date and be
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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encouraged to develop a scientifically distinct project within the broader R01 program that can form the basis of independent publications and future career-development applications. Appointment These are full
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About the department The VUA Department of Computer Science has approximately 250 members, including 50 tenured staff members and 40-50 PhD students. The tenured staff members form the basis
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therapeutic approaches to target resistance evolution. About You You will have a PhD, or be nearing completion of one, in biology, bioinformatics, computational biology, genomics, or a relevant field, or