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mathematics, and structural biology. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. You can read about the workplace here https
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optimization and functional characterization of small molecules Integrating biophysical, computational, and cell‑based data Independent experimental design, data analysis, and interpretation Active participation
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description at the Division of Biomedical Engineering Department of Materials
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6 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Technology » Energy technology Researcher Profile
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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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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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, testing, optimizing, benchmarking and validating custom machine learning algorithms for multi-dimensional remote sensing applications Good social skills, meaning that you enjoy collaborating with others in
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First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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thin films. We aim to demonstrate their integration in superconducting qubit readout systems and validate KI‑TWPA technology for scalable quantum computing applications. This position is funded through
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predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational