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Field
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carcinoma as a use case. The successful applicant will develop Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations
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analysis. Strong interest in data analysis and statistical methods will be emphasized. Interest in the research topics of environmental enrichment, physical activity and gut-brain axis Personal qualities
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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) Master's degree in a socio-technical programme, such as: (Applied) Data Science, Econometrics, Artificial Intelligence, (Computational) Social Science, Human Computer Interaction. Experience with at least
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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
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a recruitment position with a duration of 3 years. The project aims to further develop and optimize methods within assisted reproductive technologies (ART) in pigs, including Ovum Pick-Up (OPU), in