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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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by the German Research Foundation DFG. The position we offer is a 3.5-year-position at a salary level of 100% of an E13 TV-L position, the standard type of position for postdocs in Germany. There will
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, and Abilities Proficiency in programming languages commonly used in data analysis and machine learning, such as Python, R, or MATLAB. Must have effective oral and written communication skills; and
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. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and
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related disciplines Research experience in use of hydrologic models Demonstrated experience with field monitoring of hydrology or soil parameters Demonstrated excellent written and oral communication skills
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the cross-campus Astrobiology Program , and the postdoctoral scolar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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and oral communication skills Ability to mentor and collaborate with graduate students What You Need to Do: Select the Apply button to begin your application! Submitting a cover letter and resume is