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spectrometry or alternatively structural biology. Knowledge in data analysis and statistics. Strong ability to communicate effectively in English, both orally and in writing. Documented experience in scientific
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Workplace description The PhD project will be conducted in the field of Experimental Medical Diagnostics within the Division of Ophthalmology, Department of Clinical Sciences, Lund
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life programming. Read more about the research here (https://portal.research.lu.se/en/persons/rashmi-prasad) Work duties and responsibilities At Lund University, a postdoctoral position should provide
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addition to full proficiency in English is necessary for this role. Organizational responsibilities include effective and continuous lab work management, ordering of reagents, management of lab’s research resources
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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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Doctoral student in History, within The National Graduate School of Historical Studies (PA2025/3103)
found at https://www.hist.lu.se/forskarskolan/ . The graduate school uses Swedish as its working language. Information about doctoral studies at the Joint Faculties of Humanities and Theology can be found
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of language skills academic papers / degree projects any scholarly publications project plan. Please note that you need to upload all documents with your application in PDF format. Type of employment Limit
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equality and diversity as a strength and an asset. About the education The doctoral position is located within Section 3 of the Centre for Languages and Literature (SOL), which encompasses the disciplines
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University (LU) and Dr. Christine Bacon at University of Gothenburg (UGOT). The postdoctoral fellow will be hosted by Prof. Bengt Hansson at the Department of Biology (LU) in close collaboration with Dr. Anna
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Experience with scanning frameworks like Sardana or Bluesky Other software programming languages: C, C++, Rust etc. Software development for scientific applications Knowledge of code lifecycle management: git