229 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" uni jobs in Denmark
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Agent-based simulation and middleware platforms for multi-agent systems AI-driven forecasting and flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures
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labelled images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please
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workflows Experience in quantitative data analysis and computational approaches; familiarity with machine learning or advanced statistal methods is advantageous Preferably experience with micro-CT imaging
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expected to learn new laboratory techniques and become able to use them autonomously. Furthermore, he/she will attend weekly seminars and laboratory meetings. The working hours are 37 hours per week. For
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applicant will be expected to teach on the department’s current Bachelor’s and Master’s degree programmes, particularly the Bachelor’s degree programme in international business communication in English and
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applicant will be expected to teach on the department’s current Bachelor’s and Master’s degree programmes, particularly the Bachelor’s degree programme in international business communication in English and
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for collaborative learning will be open for appointment as 1st of July 2026. The employment will be a fixed term (3 years), full-time position, which will include both research and teaching activities. Your work
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in one or more of the languages taught at the department (French, German or Spanish). The successful applicant will strengthen the department’s focus on foreign-language teaching and learning at upper
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
for exploratory data analysis and data sharing Experience in Machine Learning would be desirable Passion for complex data visualization and representing data into interpretable figures. Ideally at least one major
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted