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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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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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, 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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, electrical engineering, technical medicine, or a related field. You have a solid background in biomedical signal analysis, physiology dynamic system, and machine learning technologies, and preferably have
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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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) Chemical biology/pharmacology Mammalian cell culture Preferred experience: Cell and molecular biology/biochemistry/assay development Proteomics/lipidomics Analytical thinking, data analysis, and critical
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, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
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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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culture 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
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: Applications are invited from outstanding graduates who meet the following criteria: BSc, including mathematics, cell and molecular biology Honors (first class) or MSc degree in Microbiology/Immunology