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the academic promotions process. About You Completed PhD (or equivalent experience) in Mechanical Engineering, with an established profile and over 10 years of professional experience in mechanical or opto
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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purification of secreted proteins; maintenance of mammalian cell cultures; animal handling; and basic immunostaining and image analysis. The employee will also be needed in analyzing data, interpreting
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Graphics, Augmented Reality and/or Image Processing is not mandatory but will be valued; Knowledge of CUDA, Holoscan, and other NVIDIA environments is not mandatory but will be valued; academic excellence
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass spectra), HPLC, etc Conducts background research, independently design
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/faculties/natural-sciences/our-research/research-groups/cognition-in-complex- environments/ and the inter-disciplinary Stirling Vision and Image Processing Special Interest Group http://vip.cs.stir.ac.uk
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of the post will involve synthesis and manufacture of prototype viral vectors, as well as testing their ability to treat experimental disease models, in vivo and in vitro. Other The advert will close on 05
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2 Sep 2025 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country