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Field
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well as for the remediation of heavy metals. One of the main challenges associated with this technology is the non-uniform distribution of microorganisms and nutrients within heterogeneous porous media (e.g., packed sediment
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research records Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure
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technique based on CLCE coating. This new technique, combining a novel material coating with a camera-based tracking system, aims to provide a unique spatially-distributed bridge monitoring, leading to new
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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programming (Shared and Distributed memory, GPU programming etc.) Demonstrated experience with distributed memory MPI programming Experience with collaborative software design, development, and testing
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simulation methods to target critical performance parameters for satellite quantum key distribution and imaging LiDAR applications. You will develop new process methodologies and fabricate SPADs in the state
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fundamental projects funded by InnoSuisse and the Swiss National Science Foundation on simulations of precursor transport, heat distribution, the nucleation, and growth of thin films in atomic layer deposition
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consortium of French, German, Spanish and Italian developers. It will be the main library for the Science Analysis Tool (SAT) of the CTA observatory (CTAO), which will be distributed freely. The APC and LUX
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting