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Field
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automate the scientific process leading to fundamental breakthroughs? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed matter physics, and
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materials, with a focus on lattice-dynamical free energies, temperature-dependent vibrational properties, and magnon–phonon interactions using quantum mechanical methods. As postdoc, you will principally
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properties, and magnon–phonon interactions using quantum mechanical methods. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20
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provides an opportunity to apply advanced informatics, artificial intelligence, human-computer interaction, and data science methods to understand and mitigate health disparities, enhance patient engagement
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on improving the productivity of Opuntia (cactus pear) as a sustainable bioenergy feedstock through integrated genomic, metagenomic, and systems-level modeling of plant–microbe–soil interactions. This position
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), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and
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of bioinformatics, artificial intelligence, and systems biology, with a focus on single-cell genomics and other omics layers to understand early deviations in cardiometabolic diseases. Candidates should have a strong
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function of novel innate immune cells in vital tissues such as the lung and the brain. The Postdoctoral Associate will explore components of innate immunity in tissues, and how the interaction between immune
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Intelligence (MIRMI), Technical University of Munich (TUM), Garmisch-Partenkirchen Campus. Applications will be reviewed on a rolling basis until the position is filled. The TUM Munich Institute of Robotics and
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candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models