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Field
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systems for optimizing adaptive, temporal, high-dimensional systems Data: Real-World Multi-Modal Patient Data: Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial
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that architectural modernity and conservation value in Southeast Asia were produced not by one-way importation from Europe or China, but through multi-directional material circulations among port cities
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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. Advanced proficiency in R and/or Python; experience with reproducible workflows (Git/GitHub, R Markdown/Quarto). Extensive experience working with large-scale longitudinal or multi-cohort datasets
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PhD’s degree in mechanical engineering or related engineering field. Know multiple-scale and multi-phase numerical modeling and familiar with lattice Boltzmann simulations Having rich skills in coding in
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agreement Pension scheme through the state pension fund The remuneration for the position is in accordance with the State salary scale code 1017 with a gross annual salary ranging from NOK 580 000 to 600 000
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to harness organ-on-a-chip technology to study metastatic dissemination in gastric cancer. We propose a xurography-based technology to fabricate a prototype of a multi-organ-on-a-chip microfluidics platform
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data