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to investigate the flow physics. You will also construct a prototype to test the performance using an in-house 3T magnet. The turbulent pipe flow will be characterized using modern optical methods, over a large
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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. Advertising images can also link products to ideas of success. Thus, these forms of communication are not merely tools for conveying messages, but powerful agents that sculpt our society, influence our
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Job Description Do you want to contribute to a greener future where state-of-the-art scanning nitrogen vacancy (NV) magnetometry is introduced to visualize buried functional processes in energy
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in vitro systems (somatic embryogenesis, microspore embryogenesis). We have a strong interest in transcriptional regulation of these developmental processes. You will work here The Plant Regeneration
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the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging approaches, aiming to understand how cells determine their fate and function. Your job In
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reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS