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Field
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, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
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% of your time), including tutorials and supervision of Bachelor’s theses. This is what we ask of you This is an interdisciplinary project that combines machine learning and AI, probabilistic risk
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Norwegian University of Life Sciences (NMBU), within the Faculty of Science and Technology(REALTEK), invites applications for a PhD position in Applied Causal Machine Learning. The position is affiliated with
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in laboratory work and materials characterization techniques (e.g. SEM, ICP-MS) Basic knowledge of thermodynamic modelling or willingness to learn tools such as FACTSage Analytical mindset with strong
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machine learning and AI, probabilistic risk modelling, hydrology and actuarial science. We realize that candidates will usually have expertise in one of these fields and ask for a genuine interest in the
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is expected to generate novel analytical methodologies, peer-reviewed publications, conference presentations, and practical tools for forensic laboratories. During the PhD project, you will design and
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific
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the development of numerical methods for modelling wave propagation and structural dynamics (e.g. FEM, semi-analytical methods) Experience in one or more of the following areas is desirable: wave propagation in
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Excellent state-of-the-art laboratory infrastructure with access to advanced analytical, imaging, materials, and cell-culture facilities Close supervision and strong support for scientific development
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possess expertise in a broad range of topics in condensed matter, including magnetism, superconductivity, topological matter, and low-dimensional quantum matter. The candidate will learn and master a