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sequencing, metagenomics, metatranscriptomics, proteomics, 16S sequencing, transcriptomics and epigenetics. Experience in integrated multi-omic analysis and patient-based data, including dealing with missing
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development. Further information about the Mathematics Department and its curriculum, which includes a math major/minor, an applied math major/minor, and a bio-math minor, can be found at https
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ranked among the top engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in a related discipline, and
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, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics offers excellent conditions for doctoral training at the highest level in all areas
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promising research record in one or more of the following areas: artificial intelligence and machine learning; statistical learning or applied mathematics; multimodal and longitudinal data analysis
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Python, C++, Julia, UNIX/Linux, bash, git, data analysis, or reproducible scientific software workflows. Simulation and statistical analysis: Experience developing simulations, systematics models, signal
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silencing of certain genes and independently analyse the outcome. You will summarize data into publication quality information. QualificationsRequirements for the position include: PhD in molecular biology
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hold a master's degree in subatomic or medical physics, and must have experience in C++ or Python programming. Knowledge in nuclear physics detectors and in data analysis, as well as experience in Monte
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). knowledge of radiotherapy, cancer research, medical imaging, or clinical data analysis. Desirable Criteria experience analysing complex biomedical, healthcare, or spatiotemporal datasets. experience with
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combine dynamic experimental systems with live imaging and single-cell analysis to uncover the rules that shape multicellular tissues, while contributing to a dynamic and inclusive research environment. You