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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
methods, with focus on the relations between reactions’ activity/selectivity and catalyst structures, reaction environment and reactor designs Simulations of reaction schemes and transport phenomena
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
. Your application must include: A short cover letter (up to 1 page) in which you describe yourself, why you want to do a PhD and why you are suitable for this position. CV (max 2 pages) A certified copy
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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post-doc levels in a single and unique structure. Within the Berlin School of Economics, Humboldt-Universität zu Berlin , European University Viadrina Frankfurt (Oder) , Freie Universität Berlin
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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/ International students — hard copy application in addition to online application: 31 May for the following winter semester (Please send documents to the programme coordinators.) https://www.lmu.de/psy/de/studium
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Degree Dr rer nat (PhD equivalent) / Dr med (MD equivalent) / Dr rer medic Course location Essen Teaching language English Languages Courses are held in English, and the thesis can be written in
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment