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3 Apr 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Environmental science Ethics in physical sciences Sociology Ethics in social sciences Researcher Profile Recognised
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, 2 postdocs and 5 PhD students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer
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. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer deposition is required Experience with surface
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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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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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