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projects The ability to carry out and publish high-quality research Knowledge on ROS, Python, C++ and Matlab The following qualifications will be considered an advantage when applicants are ranked: Practical
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ocean biogeochemical data products related to BCP. Proficient in software used in data science (Phyton, R, Matlab, etc.). Effective oral and written communication skills. Proven ability in performing high
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of simulations (phyton, Matlab, C) Proven theoretical education in technical and/or organic chemistry Proven theoretical education in combustion and thermal conversion You must have a professionally relevant
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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, EEG, eye-tracking), but applicants with strong methodological skills from related fields are also encouraged to apply. Experience with tailored analysis software, including MATLAB, python and method
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, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages