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and/or hydraulic laboratories Experience with experimental research and data analysis Analytical and programming skills for scientific computing and data analysis (e.g. Python, MATLAB, R, or similar
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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existing modules (by then) developed by the project team of ‘OceanCoupling ’. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts
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metrology, profilometry or microscopy, together with statistical analysis in R, Python or equivalent software. Dental crown materials, restorative dentistry, prosthodontics or dental laboratory workflows
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of the optical instrumentation via LabView, Micro manager, Python or similar software tools. 5 years or longer working exposure within the optical microscopy development and design Exposure on fluorescence based
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skills, with demonstrated experience building and maintaining production-quality software (Python preferred, given the platform’s stack) Solid grounding in data science methodology - comfortable working
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inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational
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must have a solid background in mathematics or physics, and good programming skills (e.g. Python or MATLAB). You must meet the requirements for admission to the Faculty's PhD programme in Electronics and
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criteria Experience with laboratory development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, C/C++) will be merited
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moving recordings, and spike sorting. Experience with sleep recording and analysis (EEG/EMG, sleep scoring, sleep oscillations). Proficiency in electrophysiological data analysis using Python, Matlab