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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | about 1 month ago
, Geology, Mineralogy, Physics or related field # Experience in experimental methods for analyzing reactive transport processes # Experience in evaluating large (tomographic) data sets # Knowledge of handling
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
(Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field # Knowledge of Density Functional Theory (DFT) # Familiarity with artificial intelligence methods # Good knowledge
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing methods to quantify uncertainty
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: Experience in one more of the following areas: Mathematical tools for data analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks
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, prepares research and analysis leading to cost effective event operations, develops plans and projections, evaluates and reconciles budget reports, and determines operational methods, processes, and
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AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials
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cover will be constrained using Raman spectroscopy of carbonaceous material (RSCM method), complemented by bottom-hole temperatures (BHT) and heat flow data to define present-day thermal gradients
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 5 days ago
are ‘hotspots’ for climate change (CC) and are particularly vulnerable to it. These complex environments provide numerous ecosystem services, particularly in terms of food supply, such as shellfish farming and
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. This position requires good judgment in selecting methods and techniques for obtaining solutions, and works collaboratively, and collegially as part of a large, matrix organization. Apply By Date: May 1, 2026
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tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods. Particular emphasis will be