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, applied mathematics or a related discipline, and a specialization in machine learning, uncertainty quantification, optimization or related fields. Expected skills Proficiency in Matlab/Python/Julia Oral
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the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen
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we are looking for has: -A good MSc degree or equivalent in applied mathematics or physics, or related area. -Strong numerate and programming skills (Python, C/C++) -Understanding of fluids flow in
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simulation tools in python to develop innovative algorithms, then conduct tests on the THD2 testbed to validate the algorithm's performance under realistic conditions, and finaly participate in observing runs
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tools in python to develop innovative algorithms. • Optical engineering: Collaborate with an optical engineer to integrate an IFS prototype on the THD2 experimental testbed. • Experimental physics
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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of cell division planes on mechanical stresses, and (2) the regulation of osmotic pressure in response to the confinement stress exerted by the bark. - activities: Programming with Python of mechano