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-tuning, or related optimization methods. Experience with cloud infrastructure, MLOps or LLMOps, containerization, or production deployment. Frontend and/or backend development skills. We offer ETH Zurich
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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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programming skills in Python or Java (experience with APIs, databases, cloud technologies, or software development frameworks is a plus); excellent communication skills in English. For this position your
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
identification; Proficiency in Python and frameworks such as PyTorch, TensorFlow, etc.; Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development; Relevant scientific and
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JavaScript/TypeScript. Knowledge of cloud platforms such as AWS for deployment is a further advantage. The successful candidate must demonstrate excellent analytical and problem-solving skills, strong written
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AI-focused companies, technology companies, or research laboratories. Experience with robust software engineering, reproducible research, high-performance computing, or cloud-based scientific workflows
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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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. 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