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24 Aug 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Human-Centered Computing Research Field
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 26 days ago
Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute
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faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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, computer science, or a related field is required. The position offers a flexible start date, competitive salary, and full benefits. To apply, please submit a CV with a full publication list, a cover letter, and
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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any area related to the project (e.g. Translation Studies, Digital Humanities, Linguistics, Literary Studies, Information Science, Computer Science, Cognitive Science/Psychology). Experience using eye
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scientists at the Responsive Agricultural Food Systems Research Unit (RAFSRU) co-housed at the Texas A&M AgriLife, IHA. Our research environment is guided by collaboration, mentorship, and a supportive culture
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federal requirements. Train and mentor undergraduate and graduate students. Knowledge, Skills, and Abilities (KSAs): The successful candidate will be a self-motivated, productive scientist with strong