249 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on living systems
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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shared effort. You have a solid publication record and excellent oral and written English language skills. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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) Recognised Researcher (R2) Positions PhD Positions Country Denmark Application Deadline 16 Oct 2025 - 12:00 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2026 Is
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, coordinated by Aalborg University and funded by the EU’s Horizon Europe program. The project aims to improve fiber-to-fiber textile recycling across Europe by developing smarter sorting systems, recycling
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions