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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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diagnostics (theranostics), focused ultrasound (FUS), and molecular imaging (PET/SPECT). The PhD candidate will be responsible for conducting preclinical studies using animal models of glioblastoma, including
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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an obtained doctoral degree. The successful candidate will work in a team dedicated to developing and using new approaches and methodologies for seismic imaging and Full Waveform Inversion using Generative AI
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diffraction tomography (ODT). The ODT will be used for imaging organoids and a correlative fluorescence microscopy must be integrated with the ODT. A close cooperation with COMBAT partners associated with WP 2
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assaulting them. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First
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technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code. Modern initiatives rely on a multi-layer approach to
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available1Company/InstituteSINTEFCountryNorwayCityOsloGeofield Contact State/Province Norway City Oslo Website http://www.sintef.com Street Strindvn 4 Postal Code NO-7465 E-Mail signe.riemer-sorensen@sintef.no Phone
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. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First, the use
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, or whether you have been out of work for a period of time. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-per annum depending