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• Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found at the homepage of the University
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
PhD Position – Ad Print4Life DC14 Reference code: 50156137_2 – 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | about 1 month ago
and solid state dynamics, molecular imaging, extreme timescale spectroscopy, ultrafast optics and X-ray science We offer: A range of PhD positions in these areas: open positions State-of-the-art
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engineering Physics » Chemical physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 30 Nov 2025 - 23:59 (Europe/Copenhagen) Type of Contract
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24th November 2025 Languages English English English Kavli Institute for Systems Neuroscience has a vacancy for a PhD combining optical imaging with 3D tracking to map neural coding of body posture
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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smRNA FISH, live microscopy imaging) and theoretical approaches (e.g., data analysis techniques and information theory) to address the above questions. Currently, we are seeking a highly motivated PhD
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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the qualifications 7. Certificate of enrollment in a PhD program Submission of applications: orz0822@imbb.forth.gr Selection process Evaluation procedure Applications will be evaluated by a three-member evaluation
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome