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Date: Overview The hourly rate for this position is $22.39 per hour and is non-negotiable. Graduate Level 1 or above: Pursuing a Master's Degree or PhD in Computer Science, Electrical Engineering
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research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 16 days ago
intelligent systems. Excellent working environment with academic supervision by Andrés Bueno Crespo. Real opportunity for research and professional growth. Where to apply Website https://es.indeed.com/job/phd
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) Positions PhD Positions Country Spain Application Deadline 22 Dec 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Part-time Hours Per Week Tempo parcial (30 horas/semana) Is the job funded
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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https://jobs.uw.edu.pl/en /: Candidate’s questionnaire, PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a complete list of publications, Description of planned research projects
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documents must be submitted via the online platform https://jobs.uw.edu.pl/en /: Candidate’s questionnaire (to be filled in online), PhD diploma (copy), Up to 3 selected publications, Curriculum Vitae with a
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https://www.academictransfer.com/en/jobs/357205/2x-phd-positions-in-the-mathema… Requirements Specific Requirements You have, or will shortly, acquire a Master's degree in either Mathematics
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by