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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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cooling systems for high density data centers, with emphasis on two-phase cooling systems that involve flow boiling of refrigerants. Research topics span fundamental areas such as flow boiling in
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emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
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/or oceanography; or experience working with numerical simulations, large data, scientific programming, and/or machine learning. Applicants are asked to send a CV, a brief statement of research
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(Large Language Models, Convolutional Neural Networks, Machine Learning) for analysis and classification of data.
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including neuronal spiking, local field potentials, EEG, behavior, and circuit perturbations. The goal is not merely to fit models to neural data, but to develop mechanistic frameworks that generate
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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Engineering, Process Engineering, Data Science or a related field or a foreign degree equivalent to a PhD degree inChemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Chemical
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high