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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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equipment. Demonstrated knowledge of method development, validation, and quality control procedures in analytical chemistry. Sophisticated in data analysis using software or tools such as Excel, statistical
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. Assist with data collection and analysis to support governance processes and reporting. Participate in other various special projects as needed. Your general location of work will be in the CGPS offices
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available for students progressing to one of the following postgraduate programmes: · MSc Accounting and Finance · MSc Business Analytics · MSc Finance and Investment · MSc
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data entry, quality control, and analytics. Conducts literature searches and review empirically supported publications to assist with manuscript, journal article, and conference presentation preparation
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years. Responsibilities include supporting research projects by extracting, organizing, and interpreting data from various sources for problems of limited scope; working under supervision and in
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and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running
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a theoretical, computational, or experimental researcher who conducts leading-edge research in the fields of Physical Chemistry, Analytical Chemistry, Biological Chemistry, Information Chemistry, or
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in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and
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validation tests. 2. Digital Modelling & Data Analysis Support development of the AI-enabled simulation and digital model platform. Run thermal–electrical models (COMSOL, ANSYS, or equivalent). Analyse field