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-temporal context and their environment. ECO-EVO BIODIV draws on a wide range of conceptual frameworks, approaches and methods from an interdisciplinary perspective. Within the framework of ECO-EVO BIODIV
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settings with limited data and transfer learning across species from human to mouse, and beyond. • Apply explainability methods to extract biological insight from trained models. • Keep up to date with
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facilities available in the C2N cleanroom. Electron-beam lithography, laser lithography, reactive ion etching, wet chemical etching, and metal deposition techniques will be employed. - low-temperature
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the SNCF as a decision-making tool to determine the feasibility and potential alternative routes for railway tunnels. Your assignment: First, apply the Knox method (defined in Line Kong A Siou’s thesis) to
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | 2 months ago). The position is part of the EU-funded MaLaR project, which focuses on advancing the understanding of lanthanide and actinide materials and developing synchrotron-based methods for selective rare-earth recovery
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of the electrolyte, its advanced characterization using a set of physico-chemical methods including dynamic nuclear polarization (DNP)-enhanced solid-state nuclear magnetic resonance (NMR) measurements and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
, referred to as "modelling under location uncertainty", decomposes the flow in terms of a resolved smooth component and a rapidly oscillating random component.The stochastic dynamics is then defined from a
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more than 150 staff members. It is one of the four constituent units of the Institut de Biologie Paris Seine (IBPS, FR3631), directed by Martin Giurfa. The unit is affiliated with UFR927 and the Faculty
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular