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Work group: Institute of Coastal Ocean Dynamics Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 25.08.2025 Job description: PhD
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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) Positions PhD Positions Country Germany Application Deadline 21 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Other Job Status Extra Information The position is limited to 3 years Is
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. The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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Sep 2025 Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
about 300 people. In the Department of Living Matter Physics (LMP) we seek to fill a number of PhD positions. The LMP department engages in a wide range of theoretical research aimed at understanding
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), and an increasing number of industrial partners. MUDS is offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong