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Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Stockholm) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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» Biomedical engineering Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Stockholm) Country Sweden Type
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role in establishing the University Research Facility in Materials Characterization and Device Fabrication, which includes a Materials Research Centre, a Centre for Electron Microscopy, an Atomic
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and work closely with core facilities and other research groups to access advanced techniques, including proteomics, RNA sequencing analysis, advanced microscopy, and genetic mouse models. The candidate
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, the PhD student will visit ILM in Lyon and CEA in Saclay to conduct measurements and discuss results. They will also present their findings at international conferences. Nuclear reactors, reprocessing
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scattering (SAXS) tensor tomography Develop correlative multi-scale analysis pipelines integrating SAXS tensor tomography and high-resolution X-ray tomography, and complementary electron microscopy data (in
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 1 month ago
for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy