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additional 0,6 fte). This postdoc position is part of the project “Armed Forces and Society. Dutch Public Opinion on the Military and Defence in Comparative Perspective”. The overall objective of the project
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Are you passionate about observational astronomy and love supporting students in their learning process? Do you enjoy combining hands-on technical work with educational impact? If you enjoy working
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activities. Assist students with technical issues related to the online learning platform and other technical aspects. Collaborate with colleagues from programme management, IT, admissions, and the registrar
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presentation skills in English Proficient in Microsoft office 365, knowledge of Canvas or other similar learning platform desirable Ability to take initiative and programme ownership Ability to work
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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environment. Preferred Qualifications: Experience with workflow management systems (e.g., Snakemake, Nextflow). Knowledge of statistical and machine learning techniques for genomic data analysis. Experience
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will house 2 PhD scholars and 3 Postdoctoral Scholars and will run between 2024-2029. It carries international collaborations and publication programmes, and will maintain a documentational project on
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both software and hardware. The chance to work with innovative technologies such as AI/Machine Learning. A pleasant and informal working environment with plenty of room for initiative. Job Requirements A
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ideal candidate has (research) expertise in Management Information Systems but is also comfortable engaging with research in business analytics, statistical learning, AI, machine learning, and/or
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, agent-based models and/or crop growth models) and preferably experience with advanced statistics (e.g., mixed-effect models, Bayesian approaches or machine learning). You have a keen interest in issues