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Field
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. The study asks how language at work and language as work are (de)valued as part of integration processes, workplace communication and individual experiences of inclusion. The project assesses and theorises
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writing Supporting the group’s computing infrastructure, databases, and services Teaching activities in English and/or German Required skills and qualifications Doctoral degree/PhD with scientific focus
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economic effects of due diligence requirements. The project will also involve data collection and analysis using natural language processing (NLP) techniques to develop a more comprehensive overview of
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Solutions to Climate Change: Developing a future Carbon Cycle with Synthetic Microbiology - To overcome the limitations of naturally evolved CO2 /CH4 -converting processes, we will leverage the methods
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teaching cover natural resources, agriculture, biotechnology and synthetic biology from the molecular level to the ecosystem scale. The postdoc will be anchored in the Microbial Interactions Group led by
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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applications for postdoctoral fellowships in formal methods and programming languages, with emphasis on theorem proving. The positions can have a duration of up to 4 years. The targeted starting period is after
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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history in Luxembourg and the Greater Region For further information please contact: Your profile PhD in history, or alternatively a PhD in humanities or social sciences with experience in conducting
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science