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include the use of isotopic labelling techniques, sampling and imaging of roots, soil, and earthworm casts, soil analyses and fractionation, and plant growth experiments in both field and controlled
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for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image
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). • Experience in data preparation, machine learning • Experience in processing 3D medical imaging. • Keen interest in cardiology and medical imaging. • Good command of the English language. • Ability
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cardiac views as required in a standard echocardiographic examination. This should be accomplished by combining advanced medical image analysis techniques to interpret ultrasound data with intelligent
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Spectrometry Imaging A structured approach to experimental work and confidence working with quantitative data. The ability to work independently as well as collaboratively within an interdisciplinary research
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paradigms to control singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded
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that may lead to chronic inflammation. In this project, we aim to pave the way for a paradigm shift in IS treatment, centered on the vision that active resolution of post-stroke inflammation and improved
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cytometry or quantitative image-based data analysis. Knowledge of microbial bioinformatics workflows, or a willingness to develop these skills during the PhD, is an advantage. A structured approach to
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take place after the application deadline. How to apply Please submit your application online. To apply, please click on the “Apply now” icon at the bottom of this page. Your application must be written in