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in-line or at line spectroscopic tools Large-data, modelling and prediction of food and ingredient processes. Understanding of biological production systems and their use, and with an emphasis
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time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management. In this PhD project, you will collect experimental data
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methods on large-scale microdata sets, in particular the comprehensive Danish micro-data, but other sources like lab and field experiments or other types of primary data like own surveys and secondary data
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available1Company/InstituteGEUSCountryDenmarkCityKøbenhavn KPostal Code1350StreetØster Voldgade 10Geofield Contact City Copenhagen Website http://www.geus.dk/ Street Øster Voldgade 10 Postal Code 1350 E-Mail ismao
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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Machine and Deep Learning – Applications and Case Studies in Business AI Agents and Agentic Workflows in Business Explainable AI (XAI) E-commerce, Web and Social Media Analytics Big data analytics Natural
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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https://www.vacancies.aau.dk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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candidate is expected to work closely with Professor Rubina Raja, on several tasks, including: Supporting large research/publication projects (including copyediting and indexing) Carrying out data collection