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Field
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Metabolomics and Exposomics Platform within SciLifeLab. You will join a team with complementary expertise in analytical chemistry, mass spectrometry, metabolomics and data analysis. You will conllaborate with
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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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maintaining LC-MS instruments, troubleshooting workflows, and analyzing mass spectrometry data using platforms such as PEAKS, FragPipe, DIA-NN, and Skyline. The scientist will lead projects from concept through
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(Caltech) seeks a motivated Research Scientist with a PhD and postdoctoral training in immunology to advance the lab's research programs focused on autoimmune disease, antigen-specific immune tolerance, and
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policy support. Prepare technical reports, research publications, and project documentation. Job Requirements: PhD degree in transportation engineering or related field Expertise in data analytics and
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criteria You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information You must have a relevant Master's degree in Mechanical
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position
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/Associate Professor in Visual Analytics. We seek a researcher with an ambitious research agenda in visual analytics and interactive data exploration, spanning areas such as human-AI interaction, explainable
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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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of the PhD regulations for more information You must have a relevant Master's degree in Mechanical Engineering, Mechatronics, Robotics, Engineering Cybernetics, Product Development, Industrial Design