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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 5 days ago
of grain structures on welds with a high number of passes. see more here : https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01/Phd_ATAL… Funding category: Financement public/privé PHD title
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kinetics, coarse-graining across time and length scales, machine learning from small and multi-fidelity datasets, and autonomous discovery workflows. You will collaborate with experimentalists at ETH Zurich
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for multiparametric enzyme optimisation PhD enrolment: Masaryk University DC12: Development of machine learned coarse grained force fields for computational enzyme design PhD enrolment: Freie Universität Berlin DC13
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the range of ~2000°C in vacuum. When produced in the bulk of the material, the isotopes have to diffuse out of the target material grains and effuse throughout its interconnected pore network to escape from
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) pollen grains in local Musa breeding materials as a route for triploid induction. This involves extensive screening of chemicals and other external factors for their capacity to induce 2n pollen together
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collaboration with modelling partners. PhD 2 | Formation and properties of icy grains in plume and spill-out processes You will investigate how oceanic water freezes to become icy grains as it escapes through
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(glumes). The floret consists of the leaf-like lemma and palea, which enclose the reproductive organs. The glumes of Einkorn are tenacious, meaning that the grain does not readily separate from them
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manufacturing routes on fuel pellet microstructure, and investigating densification, grain growth, and sintering behavior through both batch and in-situ techniques. Ultimately, the goal is to improve our
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methods to simulate between functional chemically active surfaces and molecules/liquids. Central methodologies include: static DFT calculations; TBMD and AIMD; classical atomistic and coarse-grained