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the Federal Ministry of Research, Technology, and Space (BMFTR). It includes an interdisciplinary training program based on the concept of a graduate school. In the 2nd year there is the option of increasing
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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of Position Full PhD Working Language English Required Degree Final examination Bachelor Areas of study Financial Management, Insurance, Economics, Accounting, Taxation, Controlling, Economic Sciences
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. Requirements: university degree (master or diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide