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research responsibility; however interest in research will be viewed favorably. Lecturer applicants should hold a Master’s degree in Computer Science or Computer Engineering. PhD preferred. Applicants with a
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Data Processor, as defined under the General Data Protection Regulation (GDPR). Our legal basis for much of our data processing activity is ‘Legitimate Interests’. You have the right to object to us processing
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About the Opportunity The Khoury College of Computer Sciences invites applications for the position of Part-time teaching faculty at our Seattle Campus. The Seattle campus launched in 2013 and is
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 9 hours ago
recommend applying by 1 May. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The doctoral study programme in
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
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to the position (0–20 points) ▫ Training in qualitative methodologies, gender perspective in research, and scientific article writing, bibliographic searches, etc. (0–10 points) ▫ Enrollment in a PhD program in
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/ Qualifications PhD holder in the areas of Computer Science, Robotics, Electrical and Computer Engineering, Engineering Physics or a related area (see selection criteria). A strong background of remote sensing is