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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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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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also have a chance to instruct Doctoral researchers and Master thesis candidates and develop towards a more independent position. Background and expertise We are looking for candidates who understand
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for master level courses Your experience and ambitions To excel in this role, you possess: A doctoral degree in a relevant field Experience in planning and/or working with experimental polymer electrolyte
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systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide
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Professor Miina Rautiainen at Aalto University and will work in close collaboration with partners across this internationally recognized consortium. The main research responsibilities include the development
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interactive and intellectually challenging atmosphere. The Postdoctoral Researchers join the exceptional scientific environment of Research Council of Finland Center of Excellence LIBER. Our main campus is
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will include: Your primary task will be to carry out research on the electrocatalytic upcycling of plastic waste. This involves: (a) Developing novel electrocatalysts based on multi-metallic structures
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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