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the most efficient analytical approach (e.g. weight, profilometry, SEM) to calibrating the quality model? How can AI based methods be used to fit empirical data to existing nanofiber quality models
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perform well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business, has two PhD positions available in the area of Data-Driven
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, while simultaneously monitoring their progress remotely. In addition, we want to determine if personalizing training based on brain data provides an advantage. To address the latter challenge, the PhD
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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, you will work towards your doctoral thesis and earn your PhD upon successful defence of your thesis. Main tasks Analytical literature review on electromembrane processes and applicable membrane
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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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your PhD? Contact information of 1-2 professors who are willing to support your application with a letter of recommendation. Please do not include letters of recommendation at this stage. Evaluation
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Setup a knowledge graph in neo4J for microbiome research Integration