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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
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interest in computer security, a very good knowledge in programming (such as in C, Java or Python) and an in-depth understanding of computer systems (assembly code, compilers). Important personal qualities
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in written and oral English. Programming skills with Python. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Python and Fortran/C. Strong collaborative skills, drive, and independence. Experience and expertise that demonstrate potential to complement and strengthen ongoing research within the department and
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, experience with programming in MATLAB, Python, or similar for data analysis is highly valued. Great emphasis is put on personal qualities such as the ability to independently plan and carry out work. You have
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis