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20th July 2025 Languages English English English The Department of geosciences has a vacancy for a PhD Candidate in molecular dynamics simulation in mineral processing Apply for this job See
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candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. The position is connected
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-supervisor. Your immediate leader will be the Head of Department. Duties of the position Develop and test new models and protocols using classical simulation methods such as Molecular Dynamics (MD) and Monte
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of molecular data in cancer genomics. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy (BRIDGE)”, recently
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decades, the evolutionary histories and dynamics of major groups remain unclear or unknown. Besides cryptic speciation, a fundamental theoretical challenge is how to interpret genetic and genomic data in