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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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network automation, resource optimisation, or 5G/6G networks would be a plus. An interest in developing AI-driven solutions for real-time, adaptive network environments. Language skills Good proficiency in
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of reliability and a collaborative, team-oriented mindset Fluency in English is required We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming
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, which primarily specialize in either force generation or endurance, craniofacial muscles perform highly intricate tasks essential for eye movements, feeding, and speech. In this project, we will employ
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interest in historical research, migration, and digital infrastructures Familiarity with digital tools and languages such as Wikibase, SPARQL, RDF, Python, GitHub, and Jupyter Notebooks is highly desirable
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Design and conduct analyses linking vocal biomarkers to validated psychological scales (e.g., PAID, PHQ-9, GAD-7). Apply natural language processing (NLP) and AI techniques to large-scale audio datasets
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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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(knowing Scratch coding language or another coding language is considered an asset) Experience working with people with a developmental disorder or experience in the education sector Experience in research
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English Candidates with experience in cell culture are encouraged to apply. Experience with imaging, molecular biology, hydrogels, chemistry, microfabrication and microfluidics are highly desirable
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SPINTEC fabrication facilities. As such, this thesis will be stationed mostly at SPINTEC in Grenoble, the PhD program being registered at Université Grenoble Alpes. You will also be part of the Vertical