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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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(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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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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live in. Your role We are seeking a highly motivated and talented Doctoral Candidate (PhD Student) to join our research team focused on melanoma drug resistance. The successful candidate will engage in
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged. The successful candidate will be affiliated with the Institute
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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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Culture: https://www.uni.lu/fhse-en/research-groups/institute-for-lifespan-development-family-and-culture/ Responsibilities: Obtaining a PhD in Psychology with a topic within the scope of the research
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Physics group (https://www.uni.lu/fstm-en/research-groups/theoretical-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD
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) Experience with cell culture, Western blotting, molecular cloning is a prerequisite Curiosity, attention to detail, persistence and good organizational skills Fluency in English is required We offer