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Information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants . Application procedure Your application must be received no later than 30 March, 2026. We welcome applicants with
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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the time the employment decision is made Strong written and verbal communication skills in English Experience in processing and analyzing remote sensing data Experience in selecting, implementing, developing
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
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separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis
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photodetectors, including thin-film processing and structure–property optimization. In close collaboration with device researchers, you will iteratively improve OPD performance and stability by linking material
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characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming