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to have a strong interest in data analysis, and medical research, along with relevant academic background and skills within medical image analysis and machine learning that will enable them to contribute
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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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singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded in the Sound and
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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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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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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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, you will be offered an interview to clarify your future career. ***Begin with a brief teaser that paints a picture of what makes this job attractive. Mention which faculty, department and PhD programme
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into retinal cell types and 2.5D organoid-like tissues Apply imaging and molecular biology methods to characterize cellular phenotypes and disease mechanisms Present findings at international conferences and
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document. We look forward to hearing from you! JOB OVERVIEW Researches, designs and develops prototype laser systems and equipment at NKTP. Researches and integrates a custom laser system into a quantum
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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