11 parallel-computing-numerical-methods Postdoctoral positions at AALTO UNIVERSITY in Ireland-University-Ranking-2024 in United Kingdom
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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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design new AI-supported experimental or observational research methods to understand the foundations of social life . In particular, we will focus on the microfoundations of social networking—why do we
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization
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of management studies. The department has a lively, international research community with numerous doctoral students and post-doctoral researchers from several countries. The working language at the department is
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heterogeneous catalysts, particularly to understand: How are the material properties (surface area, malleability, mechanical properties) and catalytic activity affected by the preparation method of the cellulose
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc