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PhD project investigates how children distribute visual attention across verbal and non-verbal communicative signals during storytelling. You will examine: children’s visual attention during
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production per cow and lactation has increased enormously as a result of genetic selection and improved feed and management practices in dairy farming. However, due to the intense focus on high milk production
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the coupled response of the tunnel and surrounding soil. Conventional techniques—such as visual inspection, strain gauges, and convergence measurements—often fail to detect distributed or deep-seated defects
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level. The candidate should have a high level of proficiency in English sufficient to communicate effectively with colleagues. We offer a full-time position as a Ph.D. scholarship recipient, consisting
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance
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multi-tasking skills, and be team-oriented, proactive and result driven. The positions can start immediately, and positions will be filled as soon as suitable candidates are found. Interested candidates
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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effective treatment for these diseases, and the project will entail a search for novel therapies in cell models, which could be moved onto animal models and eventually, affected patients. This will include
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routing and charging for both ride-hailing and demand responsive semi-flexible bus systems using fixed and mobile charging technology. The outcome will provide useful tools to support service planning and
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randomized controlled trial (RCT) to investigate the effect of hand-foot cooling via hilotherapy in patients with colon, rectal, or pancreatic cancer. The RCT will examine patient-reported outcomes (short and