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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) for the project Theory and algorithms for structure determination from single molecule x-ray scattering images. Project
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and one Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting September 2025. We are seeking highly qualified and motivated individuals with a
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units for air quality monitoring are urgently needed to preserve air quality, human health, and the environment. Current state-of-art commercial miniaturized gas sensors based on classical oxygen
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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FR3(7~24GHz) bands with strong line-of-sight, the NISC systems amalgamate a relay station (RS) and/or intelligent reflecting surfaces (IRS) with RF passive sensors informing the communication node's
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Republic of Korea | about 2 months ago
FR3(7~24GHz) bands with strong line-of-sight, the NISC systems amalgamate a relay station (RS) and/or intelligent reflecting surfaces (IRS) with RF passive sensors informing the communication node's
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involving edge-to-edge exchanges and mobility.Tasks/Responsibilities- Implement and validate an indexation algorithm based on existing publications from the STACK research team [1, 2]- Design and analyze a
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. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
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monitoring of landscape and ecosystem restorationThe fellow will work on collecting data from various remote sensors on board drones (RGB, LiDAR and multispectral) and integrating them with satellite images
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algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results