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Field
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mentoring junior researchers and contributing to a positive and inclusive lab culture is highly valued. Experience with R or Python is an advantage, but candidates with a strong willingness to develop
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environmental or agricultural sciences (MSc level), strong affinity with GIS, and find it easy to connect to Dutch farmer realities. You like it to be an in-between person between IT and research, developing user
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-information Science in BSc and MSc courses offered by the GRS chair group. Guide students through practical exercises that apply GIS concepts using various open- and closed-source software solutions. Introduce students
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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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several—of the following: policy analysis, survey research, quantitative analysis, scientometrics, stakeholder co-creation. Advanced proficiency in R and python for statistical and corpus analysis Ability
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Expertise: Deep experience in Large Eddy Simulation (LES) and a solid understanding of Atmospheric Boundary Layer (ABL) physics. Programming: Strong proficiency in C++, Fortran, or Python, and experience
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). Understanding of or interest in regulatory environments, sustainability, or policy modeling in supply chains. Solid programming or modeling skills in tools such as Python. Strong analytical, writing, and
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level. For analyses and model development, you will work with programming languages such as R, Python, and GAMS. You will work with existing micro‑economic simulation, optimisation, and emission models
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engineering or similar field Experience in microfluidics, specifically segmented slug flow Programming proficiency, preferred in python and LabView Interest in the field of metabolomics, programming, and NMR is
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary