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Field
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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economics Economics » Econometrics Engineering » Computer engineering Information science » Information management Mathematics » Applied mathematics Mathematics » Statistics Computer science » Programming
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and crucial source of evidence in policing, with an estimated 21 million cameras operating in the UK. Yet more than 80% of real-world footage is too poor in quality to support reliable person
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of analytical methods for the detection of contaminants in food products; • Proven professional experience in chromatographic techniques coupled with mass spectrometry; • Professional experience in
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and so on is often cost and space prohibitive. Here therefore, the focus is on methods to enable robotic platforms to perform certain tasks in collaborative mode, such that they can be shifted from task
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, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process
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reliably distinguished as being in healthy sleep versus in drowsiness, boredom, or depression-like states. We aim to explore novel methods, successfully applied in humans, to monitor wake-sleep stages in
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with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition
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potential of classical and innovative fertility forecasting methods in the context of the Czech Republic Profile of the graduate In addition to the scientific and pedagogical pathway at universities, a