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methods, including experimental methods; programming skills (in particular using Python) are recommended Furthermore your suitability is ideally exemplified by if you: Have Interest in theoretical questions
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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(e.g. Industrial Ecology, Ecological Economics, Geography) Good or excellent programming skills for data analysis (experience in Python or R is preferred) Experience with input-output analysis is
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, biomedical sciences, immunology, or related disciplines. Demonstrated experience with coding and bioinformatic analyses of transcriptomic and/or imaging data is essential. Knowledge of Python or R is preferred
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quantitative data analysis using R and/or Python; experience with statistical modelling and the analysis of complex biological data; a strong interest in exposomics, multi-omics integration, and brain–body
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field. Strong background in finite element analysis and topology optimizatoin. Experience with programming in Python and/or Julia. Interest in biomechanics, finite element analysis, topology optimization
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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with numerical modelling, preferably glacier modelling; strong programming skills (e.g., Python, MATLAB, Fortran); experience with processing large scale datasets from remote sensing products and models
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: Ability and motivation to conduct fieldwork in alpine environments, and willingness to obtain a UAV license. Interest in coding (e.g., Python, Matlab, R) and numerical modelling. Enthusiasms for working
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applications that are complete, in English, and submitted via the application webpage before the deadline will be considered eligible. Guidelines for applicants: https://phdpositionswetsus.eu/guide