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, computer science, mechanical engineering or electrical engineering Ideally, you have already gained some programming experience with Python and have already tried your hand at data science You may even have used
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will use methods such as light microscopy and spectroscopy and reliably document your results What you bring to the table You are completing your studies in mechanical engineering, materials science
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 16 days ago
experimental efforts, the project will uncover new physical mechanisms and lay the foundational principles—both qualitative and quantitative—for the rational design of strongly coupled molecular systems
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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interaction analysis and single-cell approaches to unravel regulatory mechanisms of heart function and disease. CRISPR-based functional genomics will allow you to explore and steer the regulatory mechanisms
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify
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scenarios for tool wear detection and measurement What you bring to the table You are studying production engineering, mechanical engineering, or a comparable subject Initial programming (python) and Machine
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Master's student in physics, mechanical engineering, materials science or a comparable degree programme and have a connection to software development. You are characterised by an independent and
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an interdisciplinary framework as part of a joint research program. What will be your tasks? We are seeking a highly motivated candidate to join the newly established Collaborative Research Centre “Carbon Sequestration
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames