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to recruit a Doctoral Researcher for a 3-year position within the research project Musical Sharing in Copresent Time and Space (MUSICOTAS, https://www.jyu.fi/en/projects/musicotas-2025-2029 ). The contract
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Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications - Strong Background in statistics and deep learning; - Excellent programming skills in python; - Familiarity with Unix
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, Python. • Written communication skills and ability to produce technical and scientific articles for the dissemination of R&D results. • Fluency in English (written and spoken). *Proof of compliance with
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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its competitive edges in technology, health and society. www.tuni.fi/en . The Laboratory of Biosystems Dynamics (LBD) of the Faculty of Medicine and Health Technology of Tampere University is looking
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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programming in Matlab and/or Python. You are hands-on in lab work and skilled in experimental design. You bring creativity, an assertive attitude, and perseverance. TU Delft Delft University of Technology is
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Religious Devotion project (CREDO; see https://www.levyna.cz/en/about-us/research/credo-project ) is a five-year project (2024-2028) funded by the Czech Science Foundation and is based at Masaryk University