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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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at Chalmers. Application procedure This recruitment process is being conducted in collaboration with Perrett Laver. Please note that all application materials must be submitted via the advertisement published
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current processes and identify, propose, and implement improvements to ensure output of high-quality datasets. Work with other team members and leadership to plan project requirements and timelines, shift
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we treat one another, work together, and measure success. Basic Qualifications BS degree in Computer Science, Cybersecurity, or related field. Minimum of two years of relevant experience. Preferred
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results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage €2300 gross/month Selection process Website for additional job details https
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-performance computing and parallel algorithms. Selection process Applicants should submit a CV, academic transcripts and a motivation letter through the KU Leuven application portal. In addition, candidates
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Monday, November 9, 2026. Interviews are tentatively planned for December 10, 2026. The positions are hosted within the Natural Language Processing (NLP) research group https://aaunlp.github.io/ at AAU
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genomics of protists in close collaboration with Prof. Ramunas Stepanauskas and his group. Protists are notoriously difficult to process at the single-cell level because of their diverse, often robust cell
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3311754). Do you have a question regarding the online application process? Please read the FAQ or contact us via [email protected] . Where to apply Website https://academicpositions.com/ad/ghent