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are looking for a colleague who is comfortable with experimental work in a laboratory as well as programming in (preferably) Python or Matlab. Information and application Please submit your application before
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and proficiency in Python (preferred) and/or MATLAB for data analysis are required. Experience with the assessment of masonry structures under multiple loading hazards. Language: Excellent command
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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, R, Matlab, Google Earth Engine); You are comfortable compiling, managing, and analysing diverse datasets from different sources; You enjoy collaborating in interdisciplinary research environments and
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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink
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. Skilled in MATLAB and Python. Experience with C++ and GPU programming (CUDA) is an advantage. Ability to work in a team, communicate effectively, coordinate multidisciplinary collaborations, and manage
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(ideally in Fortran). Experience with parallelisation and Linux clusters is an advantage. You have a demonstrated ability to work with scripting software (e.g. Phyton, Matlab, R) for visualisation and
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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2 or more years of postdoctoral research experience Background in pelagic active acoustics and deep-sea ecology A demonstrated ability to work on programming software such us R, Phyton or Matlab You
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and