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, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third party funding in the relevant fields of data science
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techniques have been demonstrated to enable spin-wave imaging with spatial resolution down to 50 nm with excellent signal to noise ratio. The PhD/postdoc will focus on investigating unexplored spin-wave
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, enabling querying vision models using natural languages. This new class of vision models, referred to as Vision-Language Models (VLM), is able to make predictions beyond the classes covered by their training
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production of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact
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., unlearning of associations), distinguishing between memory sidelearning and memory erasure. 2.3. Incorporate physics-informed neural networks [13] (PINNs) and Graph Neural Networks [14[ (GNNs) to embed
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which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
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Grade: A1/A2 Salary: from € 4 857 (A1) and € 6 207 (A2) per month (net) Location: Strasbourg (France) Reference: 1000/2025 Deadline for applications: 4 June 2025 Join EDQM and contribute to external
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of the domain, while the pre-processing step of geometry manipulation and mesh generation is one of the most important efficiency bottlenecks in such methods. The challenge is more prominent in modern, real-world
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Campus and throughout the EMBL network. You have You have a proven ability and strong ambition to investigate fundamental biological questions, whether through groundbreaking discoveries or methodological