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. Probabilistic techniques in mathematical physics, including their formalization. This position is associated with Kalle Kytölä’s research group, part of the Finnish Centre of Excellence in Randomness and
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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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research group of Professor Juho Rousu. The position allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular
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the Finnish Center for Artificial Intelligence . His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often
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microscopy, diffraction, and other complementary methods; (c) Developing and applying analytical techniques, such as liquid chromatography, to identify and quantify reaction products. You will also have
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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well as to prepare new devices and methods of quantum information processing. Our goal is to achieve JoFETs by utilizing hybrid devices based on silicon and high-quality superconducting silicides. Remarkably
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identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
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to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health