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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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applications. Radiation detector response measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image
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on health technology, offering innovative products and solutions in diagnostic imaging, patient monitoring, and consumer health (https://www.philips.nl/ ). Qualifications We welcome applications if you have
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-powered mineral prospectivity modelling codes. As Postdoctoral Research Associate - EarthBank you will; Your key responsibilities will be to: Spearhead research into the development and utilisation of open
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on health technology, offering innovative products and solutions in diagnostic imaging, patient monitoring, and consumer health (https://www.philips.nl/ ). Qualifications We welcome applications if you have
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(typically between 7-11pm) Mentorship and Laboratory Responsibilities (10%) Undergraduate mentorship (data entry, coding projects, image processing) Collaborate with a diverse team of researchers, including
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computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
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Fluorescence microscopy, targeted gene editing using CRISPR-Cas9, programming skills and advanced image data analysis. Experience with research and development in an international team Informal inquiries about
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methods of neural-microglia interactions, complementing already established multi-omics approaches: non-destructive fluorescence lifetime imaging microscopy (FLIM), mass spectrometry imaging and Raman