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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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prototyping and digital twin development of industrial manipulators. Model-based and data-driven approaches for the motion accuracy optimization of advanced mechatronic systems. Mechatronic optimization
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initiation and progression. Using murine and humanized models, human patient samples, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify
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technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated experience in doing so. This position is based
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
processing and analysis of TEM images (segmentation, extraction of morphological parameters). Modeling of growth and phase transitions (nucleation kinetics, diffusion mechanisms, droplet stability). Optical
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 2 days ago
for de Novo Protein Design. Your tasks Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules Engage with our
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 4 years. Please note the eligibility criteria set out by the UKRI at: https
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven