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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in
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and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team is essential, as both
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of the environments. A research-oriented attitude. Solid programming knowledge (Python, and preferably web development languages), and some experience with ABM or willing to learn ABM is a plus A good understanding of
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with low-data, sparse, or noisy datasets, typical in early-stage drug discovery. Technical skills: Proficiency in Python (required). Practical experience with machine learning or deep learning workflows
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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, or similar; strong programming skills (Python or similar); affinity with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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skills in scientific programming and quantitative analysis, preferably in python; affinity with climate science and/or policy modelling; excellent written and verbal communication skills in English
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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analysis of experimental data, Matlab/Python coding. We look forward to receiving your application. Closing date is January 10th, 2025, but we will screen applications as we receive them. Promising