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analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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(e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event
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have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You are confident in object-oriented programming
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for the first time to map wealth trajectories over more extended periods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
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are confident in object-oriented programming, preferably in Python You work independently, strategically, and solution-oriented, and demonstrate a high degree of independence and willingness to show
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of the individual dissertation topics through study of the literature and in making the objectives more precise; working on the individual PhD study project with experimental, numerical, metrological or empirical
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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synthesis and theoretical calculations, the TACY team will use a new synergistic approach to solve this long-standing problem. Objective is the synthesis of cyclacene precursors and polycyclic aromatic