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environment, sustainable use of natural resources, biological and geological processes. MINA’s employees undertake teaching, research and dissemination within the fields of geology, hydrology and limnology
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administrative tasks at the Department. About the project/work tasks: The PhD project will focus on the ethical aspects of Natural Language Processing (NLP), addressing challenges such as bias, fairness, alignment
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engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 20:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded
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4th May 2026 Languages English English English Do you have what it takes to address the biggest challenges facing food processing automation? PhD position within Robotics, Automation and Sensing
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at the Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology (LTU), we are looking for a PhD student with focusing on the occurrence and mobility of CRM in the Per
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. Documented proficiency in English, both written and spoken Applicants completing their degree during spring 2026 may also apply but cannot assume the position until the degree has been completed Qualifications
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international and dynamic team of researchers investigating problems in information retrieval (IR) and natural language processing (NLP) and their applications to health and medicine. The successful candidate
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literature is approached from a wide variety of theoretical and methodological perspectives. The Class of Language Education investigates the processes and results of teaching and learning language, literature
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 6 hours ago
Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application
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investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species pairs. The student will analyse a unique dataset of chromosome