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-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection, prognosis, and predictive responses to chemotherapies and targeted drugs. Studying the genetic and
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discovery and chemical biology. Our lab is working to understand the molecular mechanisms leading to efficient elicitation of tumor vulnerability for potent cancer targeting. We develop Targeted Protein
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publication(s) The following qualifications will count in the assessment of the applicants: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal
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series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further details on the departmental
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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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transferring learning from other geographic regions and data types, machine learning methods, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work
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research under the supervision of Dr Terrance Snutch. The successful candidate will join a multidisciplinary team developing novel drugs targeting brain diseases. Project: The position focuses on testing and
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: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal skills A collaborative, friendly, and team-oriented style of work Ability to join