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research Come to CEITEC MU in Brno and join us! We are passionate structural biologists at CEITEC looking for PhD Candidate: Ribosomal complexes involved in human translation control About this position
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the properties of complex, biological liquids arise from liquid-liquid phase separation. The field of liquid-liquid phase or biomolecular condensates has been a growing field during the last two decades. With
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for applications across automotive, aerospace, and power generation. Starting from modelling and parametric design of complex 3D laminated and hybrid cores, the PhD student will design and develop new motor
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work on the following project: PK.1.1.10.0004 - Implementation of top research within the Scientific Center of Excellence for Quantum and Complex Systems, and Representations of Lie Algebras, for a fixed
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Understanding the Complexities of Transport System Responses to Disruptive Events Award Summary 100% fees covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Only
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10.01.2022, Academic staff The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian State Ministry...
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the sustainable packaging of granular and complex fluid materials through virtual prototyping. By coupling the open-source software MercuryDPM for discrete particle modelling with oomph-lib for the simulation
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-strength wrought complex concentrated alloys Main ideas of the proposed dissertation topic: The PhD thesis will be focused on the research of the influence of hydrogen on the deformation behavior and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
complexes. The PhD will be carried out within the newly created Inria project-team DELTA at the Inria Center of the University of Lorraine, focusing on computational biology and artificial intelligence
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photonic systems, in particular, make it possible to harness the richness of optical dynamics to perform complex operations inspired by biological neural networks. However, current approaches face