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Field
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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MBA, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers and to creating and disseminating pathbreaking knowledge, concepts, and tools which
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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implications. Generating graphs, charts, and tables to present analysis results and aid in interpretation of results. Advising on statistical techniques for data collection and analysis and assisting in
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of data and publication-quality graphs, tables, and charts. Participate in writing manuscripts for publication and grant proposals for research support. Aid in mentoring of undergraduate and graduate
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, articles, and other documentation of study results and implications. Generating graphs, charts, and tables to present analysis results and aid in interpretation of results. Advising on statistical techniques
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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) at the VIB CMN. We are excited to announce a call for a joint PhD student in our labs to work on a challenging project at the interface of neurodegeneration, genomics, computational and systems biology
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experience may be considered. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have seven (7) to ten (10) years of relevant and aligned
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development information such as tables, charts, or graphs. · Develop and formulate best practices and protocols in data collection for analyzing and presenting data using AI/ML methodology