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Field
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investigator and will participate in theoretical and numerical modelling work, as part of a project team that includes doctoral students and technical staff. The main objective of this postdoc position is (1
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the supervision of Dr. James Bradley (https://www.jbradleylab.com/ ). The recruited person will work with the principal investigator and will participate in theoretical and numerical modelling work, as part of a
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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/or observationally motivated model-building for SMBH feeding and feedback. The group integrates observations, theory, data analysis, algorithm development, model-building, and numerical simulations
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: Physical analysis of fluid dynamics, advanced skills in programming and numerical methods, writing scientific reports and articles, presenting at scientific conferences. Behavioural skills : Independence
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numerical dynamo simulations and analysis/visualization of their output is required. In addition, experience with geomagnetic field models over different time scales (modern, historical, archaeomagnetic
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. Expertise in at least one of the following subjects is desired: Inverse Problems, Numerical Analysis of PDEs, Bayesian Statistics, MCMC, and experience in high level programming (Python). The postdoc will be
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processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects
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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis