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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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into the mechanism, efficacy and durability of the approach. For this, you will perform a number of advanced approaches including spectral flow cytometry, single cell sequencing and spatial analysis of tissue biopsies
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Announcement for fields of study such as: Automation technology, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, technical computer science, technology
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and
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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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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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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
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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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, computer science, microsystems technology, communications engineering, or a comparable field—ideally supplemented by a PhD. Practical experience: You have in-depth knowledge of project acquisition and
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PhD candidate to join our motivated team in this research area. Requirements • M.Sc. or Dipl. degree in mechanical engineering, electrical engineering, computer science or equivalent • Strong technical