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industrial fields, such as, for example, quantum simulation and optimization. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1044
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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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design. Objectives: The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing
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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine
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for defect detection and process optimization of tissue constructs (based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management
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. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces, making use of optimization and inverse design methodologies. Where to apply E-mail
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. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces making use of optimization and inverse design methodologies and contribute to project
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Job Description Are you interested in a postdoc position working on establishing and optimizing reliable methods for producing yeast-based cell-free protein synthesis (CFPS) extracts in
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling