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the body. This project involves the development and application of advanced computer simulation methods to explore the mechanisms of ion conduction, selectivity and activation for ion channels that control
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deterministic inputs, often using “best guess” values. These methods miss the probabilistic nature of input parameters, thereby underestimating unstart risks and limiting confidence in scramjet operability
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project will involve using and adapting existing simulation models of transport systems and development of methods for resilience analysis. The PhD project will suit students from any quantified background
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in applying causal estimation methods in healthcare. You will have the opportunity to work on a range of projects within your PhD including a collaborative initiative funded by the Innovative Health
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project: Computational methods for complex SV detection using sequencing data Main supervisor: Kristoffer Sahlin, ksahlin@math.su.se . Co-supervisor: Adam Ameur, adam.ameur@igp.uu.se . In the Department
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matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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knowledge in at least two of the following areas: extended reality, perception, psychophysical and psychophysiological methods, experimental design, and human-computer interaction. Good knowledge in one
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this overall aim, the student will Employ computer programming methods to determine the occurrence of Alzheimer disease in obstructive sleep apnoea patients using previously collected clinical data and Perform
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charity Verity estimates that over 2 million women have PCOS in the UK, so it is a highly prevalent endocrine disorder that leads to a myriad of physical and mental health related problems. PCOS is