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Field
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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are united in our efforts to understand, explain and improve our world and the human condition. Geographic Information Science is the interdisciplinary study of theories, methods, and technologies
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2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not
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4 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » 3 D modelling Researcher Profile Recognised Researcher (R2) Application Deadline 17 Jul 2026 - 23:59 (UTC
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications: Experience with multi-GPU model training and
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 24 hours ago
the early 2000s. Program Goals The Professional Internship Program is designed to introduce undergraduate students and recent Bachelor's graduates to the challenges of conducting energy research, and enable
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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing