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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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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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. The main research responsibilities include the development of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local
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, and supportive team environment. Your responsibilities will include: Your primary task will be to carry out research on the electrocatalytic upcycling of plastic waste. This involves: (a) Developing
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in staff trainings and projects based on your interests and needs. There is great freedom in your role, and we have a flexible modern working culture. The primary workplace is Otaniemi, Espoo. Life