21 application-programming-android-"Prof" PhD positions at Universidade de Coimbra in Portugal
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Portugal Application Deadline 15 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU
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PhD Positions Country Portugal Application Deadline 3 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research
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) Positions PhD Positions Country Portugal Application Deadline 28 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research
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Portugal Application Deadline 10 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
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Portugal Application Deadline 9 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 24 Nov 2025 Is the job funded through the EU Research
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Country Portugal Application Deadline 28 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 17 Nov 2025 Is the job funded through the EU
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Portugal Application Deadline 3 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
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Positions Country Portugal Application Deadline 2 Dec 2025 - 00:00 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 18 Nov 2025 Is the job funded through
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Positions Country Portugal Application Deadline 21 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 10 Nov 2025 Is the job funded through
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digital annotations on top of real products, to tutorials and serious games for training new employees. Work Plan: T1: Problem identification and characterization of the state-of-art in MR applications in