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corrective actions for abnormal conditions for utilities electrical distribution/generation systems as well as instrumentation and control systems. Performs root cause analysis of system or equipment failures
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the scope of the execution of activities foreseen in the funded project; technical support in a laboratory context, namely in the acquisition and analysis of multimodal imaging data, particularly Functional
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approaches; analyses causes and develops solutions for documentation failures Gathers data and/or develops research and data analysis projects Develops and carries out complex audits requiring content and
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in a topic relevant to the project’s theme; Documented research experience; Documented experience in data collection and analysis of quantitative data; Documented experience in the preparation
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documentation. Specific Requirements practical and theoretical knowledge of cell and tissue culture protocols, including gene expression analysis (qRT-PCR), Western blot, ELISA, and immunofluorescence staining
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equations (PDEs), focusing on parameter identification. These problems are often ill-posed, requiring regularization techniques and stability analysis. Comparing classical approaches with machine learning
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the evolutionary dynamics of a physical or biological process. The tasks to be performed are: 1) The creation of a bibliography on the NODE method 2) An analysis of the libraries (torchdiffeq in Python) for using
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). The grant aims to develop and implement the following activities: 1) Monitoring the implementation of the "NIZO" project, within IPC tasks; 2) Predictive analysis; 3) Development and implementation
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group
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detection, and Klepsydra Technologies handles algorithm deployment and acceleration on embedded hardware. Key Responsibilities • Analysis of failure modes for rocket propulsion systems • Contribution