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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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for antenna cooperation and beamforming in satellite constellations to achieve high performance with low energy consumption. The second will address terrestrial–non-terrestrial (TN–NTN) integration and network
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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laser diodes. Experience with multi domain calibration of photonic instrumentation. Experience of lidar-, radar-, sonar-, accoustics- or antenna activities. Exprerience on scientific communation and
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(Helsingborg) ESSF01 Analogue Circuits, study period 3 and 4 ETIN45 Integration of Hardware Efficient Algorithms There may also be work in other courses than above. Qualification requirements Only those admitted
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collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
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-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
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develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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, or equivalent, with excellent knowledge of digital communications and signal processing. High grades in the core courses are required. Skills in mathematical analysis, modeling, and network algorithms