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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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, 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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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
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oriented, organized and creative. Excellent programming skills (Python, possibly also C/C++). Good command of verbal and written English. TU Delft (Delft University of Technology) Delft University
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: Master degree in Robotics or Aerial Robotics. Strong programming skills (Python, C++, ROS). Excellent written and spoken English. Independent approach to work in research demonstrated by self-led projects
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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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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