90 algorithm-development-"https:"-"UCL"-"Technical-University-of-Cluj-Napoca" positions in Sweden
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will work at the interface of rigorous mathematics, modern AI, and research‑grade software development, with results integrated into the DTCC Platform and validated on real city data in collaboration
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sea ice dynamics and develop the capability for navigation support with synthetic aperture radar. About us The Department of Space, Earth and Environment brings together expertise in space, geoscience
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). Completed courses in signal processing, radar or communication systems. Communication skills in Swedish are valuable, but not required. What you will do Develop radar signal processing and algorithms
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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The project is in the field of optimization, and in particular the project focuses on the design of approximation algorithms for multi-dimensional packing and scheduling problems. The position offers
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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, data structures, and data analysis. The research team develops algorithms and data structures with provable guarantees, by leveraging theoretical insights to obtain state-of-the-art practical algorithms
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execution of experiments, and discuss development of eg. user sample environments or analysis code for nanoprobe experiments As a scientist, you are ready to perform scientific research or nanoprobe method(s
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic