15 parallel-processing-bioinformatics-"Multiple" PhD scholarships at Aalborg University
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for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus
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passionate about microbial ecology, bioinformatics and linking microbes to climate change? And do you thrive in a collaborative research environment, but also enjoy taking initiative and working independently
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biomedical engineering. We currently host several Ph.D. and postdoctoral fellows from Denmark and multiple nationalities. The group’s research interest spams from musculoskeletal simulations to design and
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of microalgal biomass. The PhD student will join the Life Cycle Sustainability (LCS) group and will collaborate with other international research partners. LCS brings together multiple competences within
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. Ground-truth data will be collected to evaluate detection performance under real-world conditions. The candidate will contribute to experimental planning, sensor calibration, and post-processing of field
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. Your competencies Prospective applicants should have the following qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar; solid mathematical
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committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not. The hiring process at Aalborg University may include a risk
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include developing modeling frameworks and enablers to deal with potential incumbents that may interfere with 6G operation in such bands, as well as understanding regulations for upper-6GHz spectrum in
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well as practical issues concerning the application procedure contact Ms. Annemarie Davidsen, the Doctoral School at The Technical Faculty of IT and Design, email: ada@adm.aau.dk . Read more about The Technical
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language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing