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: Postdoctoral Position Location: Taipei, Taipei, Taiwan [map ] Subject Areas: Physics / Atomic Molecular and Optical Physics , Cold Atom Physics , Condensed Matter Physics , Machine Learning , Quantum Computing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 24 days ago
24 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
seek a qualified postdoctoral researcher to design, fabricate, and test high efficiency superconducting nanowire single-photon detectors (SNSPDs) and detector arrays optimized for mid-infrared
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complex instruments and run simulations to accelerate discovery. This involves navigating vast parameter spaces, identifying rare or transient phenomena, and dramatically optimizing the use of precious
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22 Sep 2025 Job Information Organisation/Company University of Namur Department Department of Physics Research Field Computer science Physics Chemistry Researcher Profile First Stage Researcher (R1
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-level policies and procedures and safeguards University assets. Department Specific Functions: Lead and oversee program implementation and data collection procedures for research studies Design, manage
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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using Pioneer-seq and genomics assays (e.g., ChIP-seq, ChIP-exo, MNase-seq, HiC, RNA-seq) Analyze high-throughput sequencing data and contribute to computational modeling of TF binding Outstanding
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regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique