187 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in sweden
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at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab (evonetslab.github.io) centers around understanding how species interactions change over time and
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combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
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prior to the application deadline Research experience with deep learning architectures (e.g. Transformers, diffusion models, graph neural networks) applied to multimodal data. Proven expertise in time
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and plant biology, engaging in interdisciplinary research. Network at international conferences and meetings and with an extended network of collaborators. Why Join Us? Impactful research: Contribute
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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of progenitor-to-tumor cell niche transitions, focusing on the esophageal epithelium. Duties The current project will be centered around characterizing changes in local cell-cell networks during early esophageal
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and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting
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to tax. The PI covers running costs for the project. Project description What if we could decode the hidden language within plant genomes that controls their resilience to climate change, their growth
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research, often in collaboration with industrial partners. The project is part of the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and
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postdoc, you will collaborate with a network of theoretical and experimental physicists at Chalmers and with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity