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. Experience of utilising, evaluating and developing machine learning methods, with strong analytical and programming skills (e.g. R or Python) Experience of undertaking accurate, reproducible data
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start of the doctoral researcher's work. Strong programming and data processing skills with C/C++/Matlab/python. Foundational knowledge of machine learning, digital signal processing, and statistical
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end of the application period. The following will be considered an advantage skills in electronics, e.g., RF electronics, MRI coil design, gradient coil design, etc. programming skills with MATLAB, C
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codes (especially Molecular Dynamics with codes such as GROMACS and LAMMPS), as well as analysis and visualization. Experience in scientific programming and numerical simulations (e.g. Python
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-how of the measurements of neutron monitors, other cosmic ray detectors and heliospheric and near-Earth in-situ spacecraft detectors. Experience in numerical modelling, knowledge of programming
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, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below
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design. Experience in conducting behavioural experiments or using serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data
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environmental psychology are advantageous. Earlier involvement in experiments using Virtual Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R
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science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R Demonstrated experience developing data-analysis pipelines, software tools
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experience in microbial physiology and fermentation processes You have demonstrated programming skills You have excellent communication skills in English, both written and spoken. It is an advantage