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for transformative health. Catalyst supports impactful, prototype-stage innovations across the spectrum of healthcare and fosters these innovations by offering up to $1M in capital, mentorship, and access to industry
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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state physics Technology » Nanotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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Replication of ‘Carbon-Dot-Based Dual-Emission nanohybrid Produces a Ratiometric Fluorescent Sensor for In Vivo Imaging of Cellular Copper Ions.’” (2025) Preprint, Open Science Framework, https://doi.org
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
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is a critical physiological process requiring precise coordination of cellular functions, including DNA replication, transcription, and the DNA damage response, to support milk production. This PhD
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, working with the Medical Image Analysis and AI research group within the School of Computing Science. The successful candidate will develop novel computational frameworks integrating biophysical tumour