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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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26 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Electrical engineering Engineering » Computer
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, method-driven theory to application-driven research. Please find more information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your tasks in detail: Review existing literature, collect
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- Legal admission requirements I.I - Grant Recipients: Students enrolled in a master’s degree, in the scientific area of Civil or Mechanical Engineering, Computer Engineering, Materials Engineering or
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or panel presentations) at scientific, academic or science outreach events. f) Basic computer knowledge from the user's perspective. g) Verbal expression capacity and fluency in Portuguese and English. h
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of characterization techniques for animal feed and animal products. c) Ability and experience in collecting and organizing field data and secondary information. d) Basic computer skills from a user's perspective. e
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results and to make parameter estimation more efficient. The project will apply and evaluate these new methods at different sites and time periods, compare them with established approaches, and finally
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(spoken and written), certified if not a native language; e) Basic computer knowledge from the user's perspective; f) Show professional rigor and strong ability to work in a team; g) Demonstrate resilience
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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sites and time periods. Use the newly developed tools to estimate key ecosystem and land-surface parameters, and compare the results against existing model–data fusion methods. Apply the improved