14 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Leiden University
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programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
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interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
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skills (e.g., Python or other languages) and the ability to handle large datasets are an advantage. Applicants without these skills should have the motivation to develop them early on in the PhD. You have
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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skills (e.g., Python or other languages) and the ability to handle large datasets are an advantage. Applicants without these skills should have the motivation to develop them early on in the PhD. You have
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process engineering, environmental sciences, or another related field You have expertise in one or more of these areas: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple
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collection. Familiarity with machine learning and proficiency in Python or MATLAB. Excellent communication skills; proficiency in Dutch is desirable but not required. The capacity to thrive in a complex and
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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GIS and spatial analysis Data science, data mining, and information retrieval (multi-modal) Machine learning, deep learning and artificial intelligence (Initial) Experience in grant acquisition and