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alternative to delivering a copy, the CV can also indicate the unique digital identifier of the publications, which must be of the handle type (e.g. DOI) or URN (e.g. ISBN). The application submission is
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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as well as the reactor and process simulation and analysis. Details will be adjusted collaboratively as the project progresses. The project has access to two experimental reactor setups, common
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to delivering a copy, the CV can also indicate the unique digital identifier of the publications, which must be of the handle type (e.g. DOI) or URN (e.g. ISBN). The application submission is carried out by
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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. System Modeling: Develop and refine photonic system models incorporating key quantum mechanisms. Use simulation tools (Lumerical, Synopsys, Matlab, Python, …) to validate architectural feasibility and
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conditions (around 0.1 au from the Sun). By combining high-resolution remote sensing data (especially EUV spectral imaging) with advanced simulations, RIB-Wind seeks to more accurately characterize the solar
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experiment has been active since 2015, including both below and above canopy nitrogen misting. Key objectives: The project aims at providing a holistic assessment on whether and how simulated increase in