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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | 2 months ago
Antiproton Decelerator facility which is intended to perform spectroscopy on the antihydrogen ground-state hyperfine structure. Your Tasks Positronium chemistry studies Simulate, construct & perform novel
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Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1-2 years, with a possible extension to year 3
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regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop statistical and simulation-based methods for estimating design floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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with clinical domain experts to design and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors
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, Python, Robot Operating System) is required. The position is open to PhDs with backgrounds in AI, and/or computer vision and robotics/controls, and with less than 5 years of experience after receiving
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research to achieve the project objectives Prepare research reports as required by the funding body and produce scientific publications in leading journals Supervision of master and PhD students and trainees
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work closely with the Principal Investigator, PhD researchers and international experimental collaborators, contribute to proof-of-concept studies, publish in leading journals, present at international
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation
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device performance Support device simulation and optimization using TCAD tools Demonstrate the proof-of-concept of novel FDSOI device technologies and support their transfer to a startup for further