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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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(or equivalent) with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical/Computer Engineering, Physics, or a related field at the time of appointment Required knowledge
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
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Engineering, Mechanical Engineering, Electrical/Computer Engineering, Physics, or a related field at the time of appointment Required knowledge: Excellent knowledge of spaceflight mechanics or engineering
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
19.03.2025, Wissenschaftliches Personal About us The working group Learning Sciences and Educational Design Technologies is looking for a post-doctoral re-searcher (m/f/d), TV-L E 13, 75%, initially
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must also be reduced. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven
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Required Skills & Experience A Master of Science/Engineering degree (or equivalent) with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in