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Field
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multimorbidity patterns in atrial fibrillation patients. The key responsibility of the position is to structure atrial fibrillation patient’s health data for machine learning algorithms(feature engineering
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-of-the-art technology with its multiple technical platforms and several groups working on the cell envelope and diverse bacterial models. Full administrative support is provided to foreign candidates (help
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students. Essential selection criteria • A doctoral degree (PhD or DPhil) in chemistry, physics, engineering or other relevant discipline. Post-qualification research experience (Grade 8
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science, or engineering related field. Preferred Qualifications Fluency in MATLAB, Python, R, or related language and expertise in fMRI, fNIRS, or EEG and will be able to implement cutting-edge neuroimaging analysis
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 12 hours ago
engineering and geophysical systems. Their applications range from understanding the behavior of glaciers in polar regions to exploring the icy surfaces of moons in our solar system. In this project, we will
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of responsibility will include to: Construct and maintain pipelines on a HPC cluster and extend the current ones for short read technology (Illumina) to include long read technology (Oxford Nanopore) Handle and
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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The Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for postdoctoral and more senior research position. The research will be conducted under
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computer science, advanced performance analysis and software engineering to meet these challenges. In order to carry out this work, you will collaborate closely with one or more NESAP teams. What You Will Do
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, you will develop and apply cutting-edge computer science, advanced performance analysis and software engineering to improve existing end-to-end workflows, as well as developing new ones. In order to