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Field
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annonser som er relevante og engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Samler informasjon om
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
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annonser som er relevante og engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Samler informasjon om
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annonser som er relevante og engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Samler informasjon om
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LLMs (open/closed source), API integration, fine-tuning/RAG; survey/experimental research. We offer you A fully-funded position for two years, with possibility of further extension. A research-industry
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 hours ago
of an OpenAI Gymnasium–compatible environment layer (a “Gym-Agro” or ”Gym-PBM abstraction). This layer will expose a standardized API (reset, step, observe, reward, done) to RL agents, manage simulation calls
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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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skills and familiarity with LLM APIs (e.g., OpenAI API), agent frameworks (e.g. LangChain), PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Experience with front-end