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) Additional Information Benefits 1382.44 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 20 days ago
transduce these signals into biological responses. Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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and systems based on III-V and CMOS process technologies for signal amplification, conditioning, sampling, and wireless data transfer for sensing systems that operate in harsh environmental conditions
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3000 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1820
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: Graduate in Environmental Sciences Master in Ore Deposits PhD in Geological Sciences Selection process MERITS BASED TENDER PROCESS (maximun 10 points). 1. PhD in Geological Sciences (4 points). 2. Master in
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domains (e.g., automotive, human-computer interaction), where efficient on-device processing is essential. We are looking for a highly motivated PhD researcher with an interest in hardware-aware
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Engineering » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 May 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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from the Centre for Acoustic Signal Processing Research will be assembled to support the interdisciplinarity of the PhD project. The section provides a world-class research environment, outstanding
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including anechoic chambers and controlled experimental environments, ensuring high-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring