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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
automate measurement procedures including remote operation of the experiments. You will optimise ptychographic detection and reconstruction methods, collaborating with external companies on adapting
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natural resource solutions, this role provides science-backed decision support to optimize forest management prioritization and climate adaptation strategies across vulnerable landscapes. Decisions
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Medicine Postdoc Appointment Term: One year with possibility of extension Appointment Start Date: October 1, 2026 Group or Departmental Website: https://profiles.stanford.edu/john-openshaw(link is external
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
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Resources employment opportunities website, https://www.ucf.edu/jobs/. In addition to the online application, interested candidates should upload the following: A curriculum vitae. NOTE: Please have all
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. The project explores novel communication, sensing, and data-driven techniques to support safer and more adaptive interactions among heterogeneous road users. The research will be carried out under
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processing, and adaptive microscope control. Your work will primarily focus on software and control system development, including real-time photon-stream processing, embedded software architectures, FPGA-SoC
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FASTQ files, read quality, adapter contamination, sequencing depth, and read duplication Strong programming skills Strong knowledge of RNA-seq analysis pipelines High-Performance Computing and Data
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adaptive and scalable. The research effort will be directed towards the selective recovery in high yield of high-value polymers (e.g., PET, PS, PC, ABS) at high purity, while minimizing solvent consumption
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disease surveillance for emerging and endemic pathogens. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is