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administrative records on the supply of mental health workers and mental healthcare services delivered over time. The expected outcomes of this project include new evidence on how the market structure and
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biosynthetic gene clusters and other molecular features relevant to natural product drug discovery Validating machine-learning and deep-learning models to predict the chemical structures and bioactivity
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between cash and service crop plants in intercrop systems, and the underlying driving eco-physiological mechanisms. You will use 3D plant modelling (so-called functional-structural plant modelling
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. You will quantify how spatial patterns, network structure and environmental context influence the capacity of blue spaces to provide co-benefits such as biodiversity support, cooling, air quality
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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their posttranslational modifications in the chromatin structure and function. You will apply modern bioorganic chemistry and chemical biology approaches, ranging from peptide and protein synthesis
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administrative records on the supply of mental health workers and mental healthcare services delivered over time. The expected outcomes of this project include new evidence on how the market structure and
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would then be correlated, using the synchrotron light, to structural, chemical and electronic changes in the single metal atom at different steps in the catalytic reaction. Using the synchrotron light we
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areas in the life sciences. The neuroscience section brings together expertise in system physiology, behavioural neuroscience, molecular biology, molecular structure and function, organic and
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. This interaction is enhanced by resonant structures, such as metallic or dielectric nanoparticles and metasurfaces. The group is part of the research cluster "Photonics and Semiconductor Nanophysics".