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desirable. Understanding of fermionic superfluidity/superconductivity and topological materials is beneficial. Working skills in data analysis and automation of experiments with MATLAB, Python, or equivalent
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machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
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facilities in the School of Chemical Engineering (https://www.aalto.fi/en/school-of-chemical-engineering/research-infrastructure ), Micronova, and Otanano, training your experimental skills on infrastructure
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this role, you have: strong programming skills in at least one of the following: Python, R, or MATLAB, and willingness to work across these environments as needed for data analysis, modelling, and method
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Positions here. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409436/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers available1Company
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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To view information about Workday Accessibility, please click here . Please see more of our Open Positions here. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409379
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, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://www.worldhappiness.report
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virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland