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, Statistics or Computer Science. Proven postdoctoral experience in programming health economic models using multiple tools like Excel VBA, Python, R, SAS, Stata, or TreeAge. Proven teaching experience
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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statistical analyses in R. You possess excellent written and oral communication skills in English. You have previous experience with participating in research projects (e.g. data collection, statistical
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based
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comfortable (and preferably experienced) working with large-scale datasets. Has statistical software skills (e.g. Stata, R). Has strong communication skills in English, both written and spoken. Proficiency in
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability
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computing hardware; conduct benchmarking with other innovative computing paradigms (e.g. neuromorphic computing, photonics computing, etc.); support/lead ESA Φ-lab’s industrial R&D activities related
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of relevant work experience in a strategic, connecting role, for example in business development, valorisation or R&D management within the biotech sector. Experience in providing substantive guidance and
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depth, but you may look into them for a high-level impression of the style of research. H. Fokkema, R. de Heide and T. van Erven. Attribution-based Explanations that Provide Recourse Cannot be Robust
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R