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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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you will be part of the research team of Univ.-Prof. Tarja Knuuttila. The main research areas associated with this professorship are general philosophy of science, with focus on scientific modeling
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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-based and aircraft experiments with innovative modelling to study the fundamental physical and chemical properties of aerosol particles and clouds. Current research focuses on related but different areas
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-sophisticated laboratory, ground-based and aircraft experiments with innovative modelling to study the fundamental physical and chemical properties of aerosol particles and clouds. Current research focuses
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methods (e.g. as part of your Master’s thesis or (co-authored) publications). Desire to experiment with prototype design tools/methods such as object-oriented modeling, Web mapping, JavaScript, Linux basics
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% of their graduating classes) have a strong quantitative background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing
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! It is that ease to apply: Your full scientific curriculum vitae A letter of intent (cover letter) explaining why you are interested in the position and how it is a good match for your experience and
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. This project will critically examine this landscape, exploring what kinds of data sharing and re-use practices are afforded by different models for open science. It will lay the groundwork for novel approaches
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applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and biodiversity