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-cycle aspects is a big asset. In this work, you also need programming skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need
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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. A curious mindset. An interest in multi
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Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric machine drives or power electronics is a plus. We value candidates who
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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Matlab and Python. A curious mindset. An interest in multi-disciplinary research. Experience in scientific publishing. For Doctoral Researcher position: Eligible for PhD study at Aalto University. Please
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computational design for climate-adaptive urbanism. Your network and team You will work closely with Professor Dr. Pia Fricker (https://research.aalto.fi/en/persons/prof-dr-pia-fricker), whose professorship in