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Field
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Computer Science, Natural Language Processing (NLP), or a related discipline. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405692/research-fellow-in-… Requirements Additional
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project progression and reporting. The Research Assistant is ideally suited for recent university graduates who want to gain research experience and strengthen their preparation for MD or PhD studies after
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
at a PhD programme at the time of contract signing. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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description section. Selection process Please, you can find the information in the offer description section. Website for additional job details https://www.ecum.uminho.pt/pt/Investigacao/Paginas/Emprego
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designed for (Khmurovska and Štemberk 2019); (ii) building future NPPs using unconventional materials with as-low-as-possible embodied carbon, in line with the broader process of phasing out cements with
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impact assessment of soil borne diseases on the Australian Grains Industry. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse
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to: Developing code and using statistical software to manage and analyse data Contributing to the drafting and dissemination of research results through seminars, workshops and conferences. Publishing/exhibiting
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. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of ‘omics data (e.g., metabolomics