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Field
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, Psychology, Data Science, or a related field. A keen interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection
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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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Neuroscience, Psychology, Data Science, or a related field. A keen interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data
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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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analysis and data processing, preferably ArcGIS or QGIS You have a strong interest in biodiversity, ecosystem services, and the climate–nature-people nexus. You have affinity with interdisciplinary research
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, or data management and analysis is a plus. Soft Skills Excellent communication and interpersonal skills, with a client-oriented mindset. Proven ability to collaborate effectively in interdisciplinary
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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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to this position: A Master's degree in Social Psychology, Work & Organizational Psychology, Management, or a related field. Quantitative research and data analytic skills; Qualitative data analysis skills are a pre