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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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and gastric carcinoma. The PhD candidate will be part of a structured doctoral programme, with the aim of completing a PhD within the employment period (i.e., 3 years). Duties of the position Complete
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Location: Pasadena, California 91125, United States of America [map ] Subject Area: Quantum Information Science Compensation: $80,000 Appl Deadline: 2025/11/16 04:59 AM (posted 2025/09/16 05:00 AM, updated
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This offer is part of the DuraSyS-PAC (PEPRH2) project
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candidate will have a PhD in a relevant biological subject, or MSc / MPhil plus significant experience in industry in the field of computer vision and machine learning. They will also have extensive research
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: Research Associate, Senior Research Associate, or Research Fellow; depending on the number of years of post-PhD R&D experience, and how well your skills and experience align to the requirements of our
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 4 hours ago
), and the PhD in Health Sciences program to prepare future faculty, researchers, and leaders in the health professions. The Position The Chair candidate should be eligible for a tenure rank. Reporting to
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum