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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level
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of cloud-based recalibration, edge AI systems must become "self-aware" and capable of autonomous evolution. Core Research Objectives. The primary objective of this PhD is to develop a high-performance, low
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, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software
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. Experience with web-based scientific applications, data visualization, or large-image rendering Experience with containerization (e.g., Docker) and cloud or HPC deployment of scientific software. Engagement
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of whole rodent brains; memory-efficient I/O, tile-based or chunked processing, multi-resolution formats such as OME-Zarr) and GPU computing on cloud or HPC environments. Experience mentoring or training
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience in processing-imaging techniques (e.g. 3D Data Processing, point clouds, geospatial Analysis) Knowledge and
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depend on cloud computing or high-bandwidth communications. Instead, sensing and AI inference must operate directly at the edge, under tight constraints on power, bandwidth, and compute. This studentship
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in galaxies: how gas and dust form molecular clouds, how stars are born from these environments, and how stellar evolution and feedback return material back to the interstellar medium. Stars are born