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robustness Integrate the developed process with existing PFAS treatment technologies Analyze samples using advanced chemical and spectroscopic techniques (e.g., LC-MS, IC, TOC) Disseminate findings through
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sample preparation Desirable Qualifications Prior experience with negative ion mode MS is an advantage Interest in computational proteomics workflows Programming or scripting skills (e.g., Python, R
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students. In the project you will: Perform longitudinal proteomic and degradomic analyses of wound healing models and clinical samples. Identify proteolytic cleavage sites and post-translational
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directly identify and characterize bacterial pathogens, such as Listeria monocytogenes , from enrichment samples without the need for further culturing within one day. The new food safety tool will leverage
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involved in: Analysis of data from medium and low-cost sensors Analysis of data from cognitive performance assessments and health survey responses Conduction citizen science-based activities in the schools
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around public transport stations, travel survey data, and satisfaction survey data. Further data is expected to be collected during the project. The focus will be on analysing and modelling the factors
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international research experience. Responsibilities and qualifications You will develop sampling and characterization methods to analyze the composition of current footwear. This includes applying advanced
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Science Applicants with a master´s degree from abroad should also enclose a short description of the grading scale used. Publication list (if relevant). Publications or writing samples (e.g., master thesis
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writing sample, up to 10,000 words (e.g., a course paper, conference presentation, published article, or selection from your master’s thesis) Contact details for two references All application materials
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theories to complex ones in suitable scenarios; harnessing Transfer Learning with challenges such as ascertaining the minimum number of data samples to get maximum accuracy for adequate diagnosis Studying