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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
context Data processing, analysis, interpretation, and visualization of experimental results in collaboration with computational partners Your profile Completed diploma or master’s degree in molecular
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solutions for automated analysis and interpretation of visual cultural heritage data Experience in designing and implementing natural language processing methods for the documentation and analysis
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials and be
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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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process by the Principal Investigator (PI). For application inquiries, please contact [email protected] or visit our dedicated PhD Call webpage for more information. https://vib.be https
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the project. Due to the nature of this project, preference will be given to candidates with experience in the reduction and analysis of X-ray, radio or other time-series data, and in scientific programming in
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probabilistic results rather than “visual truths”. 4. Ensuring CCI/Huma-Num interoperability by guaranteeing FAIR, traceable, and reusable data within museographic and creative pipelines. 3. State of the Art and
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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description Develop skills in atmospheric chemistry, global modeling, and data analysis of field observations. Have opportunities to develop scientific communication skills through presentations at conferences