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Field
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experimental techniques. Requirements PhD in Physics, Applied Physics, Photonics, Electrical/Electronic Engineering, Materials Science, or a related field. Strong experimental experience in quantum optics
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
The Superti-Furga Lab | CeMM, Vienna and The Cori Institute, Graz | Austrian Academy of Sciences Metabolism is the organizing logic of life. We are building the right place to decipher and engineer
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of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
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, including procurement of supplies and liaison with vendors and suppliers. Job Requirements: PhD in Material Science, Chemical Engineering, Chemistry, Physics or a related field. Strong background with
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the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/306540/postdoctoral-fellow-in-ex… Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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Engineering, or a related discipline; a PhD will be an advantage. Demonstrated knowledge and hands-on experience in cementitious materials and concrete characterisation, particularly in limestone calcined clay
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction