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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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bioinformatics and data analysis (i.e. R, Python, Perl) is a significant plus. Organisation Conditions of employment We offer you in accordance with the Collective Labour Agreement for Dutch Universities (https
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programming languages such as R (Experience with NetLogo is preferred but not essential). experience in the development and use of spatial microsimulation and a familiarity or willingness to learn agent-based
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, Python, and R. The candidate should have a strong capacity to understand processes underlying pro-environmental behaviour from different perspectives, enabling them to simultaneously understand, use, and
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of proteomics or multi-omics datasets, preferably in cancer research. ML applications for biomarker discovery and validation, and predictive modeling. Programming (Python, R, c++ and/or MATLAB) and handling large
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applications for biomarker discovery and validation, and predictive modeling. Programming (Python, R, c++ and/or MATLAB) and handling large-scale biological datasets. Analysis and statistical evaluation of mass
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blot, PAGE, RT-qPCR, RNA immunoprecipitation, etc.) Prior experience working with RNA structure and NGS, as well as experience in bioinformatics and data analysis (i.e. R, Python, Perl) is a significant