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for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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scientist with interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry
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candidate will: Normally have or be about to obtain a relevant PhD in Physics, Materials Science, Electrical/Electronic Engineering, or a closely related field with demonstrable specialism in microfabrication
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Job Requirements: A PhD degree in Mechanical Engineering, Chemical Engineering, or a closely related field Strong knowledge of electrochemistry and multiphysics modelling in electrochemical systems
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programme of research and collaborate effectively across disciplines. Essential: • A completed PhD in a relevant field (e.g., applied mathematics, statistics, geophysics, remote sensing, physical
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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researchers in law, social sciences, environmental studies, technology studies, and critical theory, in close collaboration with Nordic and international partners. The successful candidate will: conduct