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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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, 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
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strategies, 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
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) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image analysis and
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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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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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also contributing to public engagement and the collaborative life of the project. Academic Research Conduct socio-legal and policy analysis with key stakeholders in the selected country. Carry out
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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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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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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