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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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boundary layer and wind energy applications You have very good skills in programming for data analysis (python, shell scripts, FORTRAN and/or comparable) of different formats (e.g., netCDF, ASCII) and from
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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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(e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be