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Field
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functional theory (DFT), anharmonic lattice dynamics, machine learning force fields, transport, and high-performance computing (HPC). Position Specific Responsibilities/activities: Perform ab-initio
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experience with scientific computing environments (Linux, HPC clusters) are wellcome. Background knowledge in adsorption phenomena, catalysis, or corrosion science is a plus, along with good communication
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SE + robotics / CPS. Experience with safety, explainability, or dependability of AI systems. Familiarity with HPC or large-scale experimentation pipelines. What We Offer A pioneering research team: You
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-performance computing (HPC) systems. Proven track record of interdisciplinary collaboration on research projects. Strong publication record in relevant fields such as environmental science, data science, or
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science, including electronic structure methods molecular dynamics, and scientific machine learning. Experience with High-Performance Computing (HPC) systems and intelligent workflows. Demonstrated
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institute is approximately one hour's drive from both the Pyrenees mountains and the Atlantic Ocean. You will work in an office within the CAPT team, with a provided computer and high-speed access to HPC
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC
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sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
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(meteorological, hydrological, hydraulic, traffic, LiDAR, and DEM/BLE datasets). Build reproducible pipelines in Python/R/Julia/SQL for big data geospatial applications. Utilize cloud and HPC resources for model
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unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, High Performance Computing (HPC), Laboratory Operations, Laboratory Techniques