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Field
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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18 Feb 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 17 Mar 2026 - 12:00 (UTC
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23 Jan 2026 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Agricultural sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026
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pathways to control or eliminate Ct infection. The work tasks will include: Designing and performing experiments Data analysis and manuscript preparation Presentation of results internally and externally
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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biological matrices. Hands-on acquisition of SERS data from biologically and clinically relevant samples, including in vitro bacterial cultures, experimentally infected wound models, and clinical wound samples
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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authentication and usable security (e.g., biometrics, CAPTCHA); Privacy (e.g., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and
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of chemicals from catchment to tap water and wastewater reuse. The frameworks will target not only single-chemical assessments but also chemical mixtures, incorporating information on their aquatic occurrences