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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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million were diagnosed with the disease. Therefore, there is an urgent need to develop new therapeutic and diagnostic strategies to control this major global health challenge. To achieve this, we need a
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business opportunities in built environment transitions over the next 5–10 years? As a PhD candidate within the NWO-funded FUTURED programme, you will develop short-term, evidence-based scenarios
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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 15 days ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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systems is becoming more important in various scientific areas, e.g. in the development of new materials for data storage, light-emitting diodes, or anticancer metallodrugs. The main goal of the thesis is
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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, we are looking for a Senior Researcher in Frugal / Green AI who will : Define scientific and strategic orientations aligned with the institute's research roadmap Lead research, development and
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network-wide training activities, courses, workshops and conferences. As a student in the AMC Graduate School you will also have access to additional training and development. A contract for 12 months, with
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 26 days ago
positions for Doctoral Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies