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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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teamwork across disciplines. Knowledge of structure–activity relationships (SAR) and drug-property tuning (ADMET) Additional valuable skills: Experience with antibacterial drug design Experience with drug
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, including Denmark, France, Germany, Italy, Norway, South Tyrol, and the Netherlands. Within this broader collaboration, the Aarhus University team is responsible for generating in-depth knowledge about
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such as participant observation, attested by prior publications, or a relevant PhD dissertation. • Priority will be given to applicants with knowledge of the project’s Arctic and Samí context • Good
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environment focused on the design and evaluation of interactive systems that extend human cognitive, affective, and collaborative capabilities in digital environments. Our research examines how emerging digital
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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, and it is important to state that you are not alone. We mean it when we say that we believe that it is us and our contributions together, with our different backgrounds, mindset, competencies, knowledge