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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
of qualifications cover letter records of previous studies documentation of language skills academic papers / degree projects any scholarly publications project plan. Please note that you need to upload all documents
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all around the world. Using a rich and varied range of exhibitions, programs, activities and pedagogy based on the collection, we strengthen the experience and create good conditions for the museum as a
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing
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of Excellence. The Department of Language Studies invites applications for the doctoral training programme in English, Russian, French, or Spanish Literature The Department of Language Studies is a
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environment on regional development consisting of economic geographers and will also be affiliated with the interdisciplinary research programme “A Promised Land?” at the Centre for Regional Science (CERUM
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, serving the SciLifeLab infrastructure and the Data Driven Life Science (DDLS) research program. The Data Centre has a national assignment and operates a range of life science data and e-infrastructure
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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of interdisciplinary projects. Duties As a doctoral student, you will primarily dedicate time to your own studies. The doctoral programme, comprising 240 credits for a Degree of Doctor, is an opportunity to study while
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can understand, use, and critically examine AI - while preparing future teachers for a school system where AI is becoming increasingly important. The research program is characterized by
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programming capabilities with ample experience from previous projects are a requirement. Strong experience with Python, data analysis, and visualisation techniques is a bonus. The results of this work will be