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Field
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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opportunity to collaborate with partner animal laboratories to test mechanistic hypotheses derived from imaging findings. This ambitious project aims to develop mechanistic biological models of severe mental
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Field Physics » Optics Physics » Biophysics Physics » Applied physics Engineering » Biomedical engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Poland
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- A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and will be established at the University of Bremen from January 1, 2026. In the Cluster, we are looking for one
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bridge the gap between these industry-specific applications and non-technical users. We are seeking an experienced computer graphics researcher/engineer who has knowledge of character animation and game/UX