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Field
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist clinicians in the assessment and care of patients presenting with self-harm in
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representations, using software such as QGIS, ArcGIS, AutoCAD, and Adobe Photoshop; Publication of scientific articles; Organization and coordination of scientific meetings, including workshops, conferences, and
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Post-doctoral Fellow / Senior Research Assistant (Holding the Functional Title of Senior Psychology)
and spoken English and Chinese. Strong research skills in Psychology or Social Sciences. Proficiency in statistical software (e.g., SPSS, Jamovi, or R), as well as MS Excel and Chinese typing
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. Experience with LCA software (e.g., SimaPro, openLCA, or GaBi) and databases (e.g., ecoinvent). Strong publication record in peer-reviewed journals relevant to sustainability assessment, circular economy, or
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(CW and pulsed, UV) Atomic spectroscopy Software skills for experiment control (Python, Labview), simulation (COMSOL, Python) and data analysis (Python, C++). Desirable Skills Knowledge of the following
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Columbus, Ohio. More information about the lab is available at https://sun-hongyu.github.io/ . We welcome applicants from diverse disciplinary backgrounds, including geophysics, seismology, data science
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For both positions: Conduct innovative, independent research aligned with the lab's mission and the candidate's interests Contribute to the lab's open-source software, datasets, and benchmarks Mentor PhD and
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position to work with Dr. Alexander Young on the development of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative
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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important