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are looking for a motivated PhD student to investigate brassinosteroid transport mechanisms by combining live-cell imaging, phosphoproteomics, and CRISPR-based screens. Profile Essential Master's degree in
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Offer Description Applications are invited by the University of Alicante President to participate in a recruitment process for research staff (contract type: open-ended contract; job category: senior
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Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 9 Feb 2026 - 00:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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processing. The Information Processing and Systems Department (DTIS) covers various aspects from automatic control, signal and image processing to human-system interactions and system design. On this last
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process https://www.unipd.it/bandi_list Website for additional job details https://www.dei.unipd.it/bandi/termine/395
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publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information
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https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications A PhD Degree in Engineering or Mathematics. Specific Requirements
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not