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process https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/cercetare/2026/342/anunt.pdf https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/cercetare/2026/342/anunt_en.pdf Additional comments
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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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graphics, machine learning and graphics programming, as well as a good command of English. Knowledge of data science and deep learning is an advantage. You demonstrate good team spirit, interpersonal and
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have a question about the application procedure? Please send an email to [email protected] . Website for additional job details https://www.academictransfer.com/363198/ Work Location(s) Number
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vesicles/exosomes and research techniques requiring the use of an ultracentrifuge is an asset; experience in working in a laboratory that meets GMP (Good Manufacturing Practice) standards is an asset; Very
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Function We are looking for an enthusiastic and motivated postdoctoral associate to conduct experimental and theoretical research that aims to develop the next generation of extrusion processes for flavor
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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methods development and good analytical practices Maintains a working knowledge of significant developments and trends in the field SKILLS Outstanding proposal and paper writing skills Excellent
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as a material to enhance sustainability in packaging applications, but this material is highly variable and its post-processed material properties are unpredictable. We intend to investigate various
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: The successful candidate will work on different infectious diseases of poultry to characterize aetiological processes