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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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into life cycle and techno-economic models to evaluate case studies relevant to both Europe and Latin America. Develop a clean and retrievable database for the generated region-specific inventories to be
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circuitry and shared molecular pathways have established songbirds as the model system of choice for human speech learning and fine motor control in general. The PhD candidate will use behavioral and
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master's degree. The successful candidate will have a degree in chemistry, chemical engineering, biochemistry, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or
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, biogeochemical, ecophysiological, and model-based investigations. The candidate will explore and quantify how benthic processes influence the exchange of matter between sediment and water column in oxygen-depleted
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device
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imaging, flow cytometry, and molecular assays to characterize cellular phenotypes. Perform in vivo studies in mouse models of obesity and metabolic disease The Loft Group Anne Loft is a recipient of a
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method (measurement of energy stored) will be developed in the laboratory. You will work at the intersection of experimental testing, storage modelling, and energy system monitoring and control
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, processing video data, and applying AI models to improve efficiency in population and behavioral analyses. Fieldwork will be combined with statistical and spatial analysis using RStudio and GIS tools. In