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. Excellent academic record. Proficiency in Matlab and signal processing. High proficiency in English. Strong motivation to pursue a PhD. Offer Full-time predoctoral research position at UPV. One-year contract
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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? No Offer Description JOB POSITION: PhD Junior Researcher (Investigador Júnior) I-PI 94-25 Applications are invited by the University of Alicante President to participate in a recruitment process for
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. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7
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criteria Evaluation criteria: A. Qualification: PhD in Mechanical Engineering. Maximum 2 points, depending on the thesis grade: 1.5 points for an outstanding cum laude, 1 point for a lower grade. An
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criteria Evaluation criteria: A. Qualification: PhD in Mechanical Engineering. Maximum 2 points, depending on the thesis grade: 1.5 points for an outstanding cum laude, 1 point for a lower grade. An
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Infrastructure? No Offer Description JOB POSITION: PhD Junior Researcher (Investigador Júnior) I-PI 95-25 Applications are invited by the University of Alicante President to participate in a recruitment process
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
) Positions PhD Positions Country Portugal Application Deadline 6 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Offer Starting Date 24 Oct 2025 Is the job funded through
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Required qualifications PhD within forest sciences, remote sensing, data science or related field Competence in data processing and analysis of remotely sensed data Experience in use of remotely sensed data