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optimize analytic models for quality outcomes Assist with visualization, summarization, and presentation of data-driven insights. Candidates with experience in higher education institutions are preferred
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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to develop an aeromedical dispatch management software as a technology hub that provides data-driven prediction model and an automated dynamic decision model. The successful candidate will be responsible
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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10 Apr 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Other Medical sciences » Other Researcher
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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Are you a researcher driven to understand and predict the fundamental mechanisms limiting lithium-ion battery performance? We are recruiting a Research Associate in Lithium-Ion Battery Modelling
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and/or gravity as a continuum in the rodent, employing established or emerging ground-based models for simulated weightlessness via hindlimb unloading or hypergravity generated using chronic
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. The TTS supports organisations as they progress through Technology Readiness Levels (TRLs), offering short-term technical assistance and ongoing engagement models. As a first-of-its-kind initiative in