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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be
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, or deployment at scale. A proven track record of high-quality research contributions published in top-tier machine learning conferences or journals. Proficiency in high-performance computing, distributed and
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systematic investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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the recruitment portal, please contact HR Specialist Harri Hamara (harri.hamara@helsinki.fi ). SOME RECENT PUBLICATIONS Ahlvik, L., & van Kooten, S. (2025). Distributional impacts of conservation on land prices
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center fully integrated into the LIGO/Virgo distributed computing network. IFAE is in a privileged position to analyze the LIGO/Virgo/KAGRA data and, in collaboration with IFAE’s teams in CTA/MAGIC and