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Field
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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enabled pathway for high value secondary metabolites. By generating and integrating multi-omics, imaging and process datasets, the project will enable AI to (i) accelerate callus line development through
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29th June 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Machine Learning Approaches to Conservation Condition
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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supervisor(s) and undertake the necessary administration for a smooth PhD process. You will conduct the research efficiently and to an appropriate standard, possibly abroad, and compete for funding for general
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experience levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial
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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this PhD you will develop mechanism-informed world models: models that do not merely
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for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. The Department of Information Technology
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. Methods, 2024). The approach is still in its infancy; hence we need to drive the further development of the imaging technology, labeling agents and analysis approaches at the same time. To demonstrate
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into the world of lipid research with the European doctoral network LipidBRIGHT to uncover how lipid signaling and metabolism drive disease—and innovate future therapies. PhD Position – Lipids and Cardiovascular