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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
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. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human-centered research (e.g., user studies, experimental design, qualitative analysis). We are looking not only
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learning) with human-centered research (e.g., user studies, experimental design, qualitative analysis). We are looking not only for technical skills, but also for curiosity about how people experience
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case studies in health care, to demonstrate the potential to discover novel insights from data. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced
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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data
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Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and ability to work independently Excellent
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interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
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, provide input to decision-makers (e.g., related to the Dutch Climate Act), and contribute to integrated decision support. PhD on Dynamic Material Flow Analysis (MFA): This project addresses critical