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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https
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transformation, innovation, energy and sustainability, development economics and economic demography, as well as financial history, education, and labour markets. More information is available on the department’s
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
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. This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
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screening approaches. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving
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, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant
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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will