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duties (up to 20%). This doctoral project will investigate the physical processes controlling the stability, structural integrity, and mass balance of Antarctic ice shelves, aiming to improve projections
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Software defines a critical part of our society’s digitalization. Within the Software Engineering and Education (SEE) research group, we expand the research front on processes, methods, and tools
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processes for the conversion of carbon-rich gas streams and organic residues into hydrogen, volatile fatty acids, and biogenic carbon dioxide. The research focuses on integrating anaerobic digestion, dark
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also include preparation of food samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, collaboration with
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collaboration partners totalling a maximum of 11 months. The doctoral studentship will be part of University of Borås research group Polymer Technology Research Group and will include studies on the processing
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regarded favourably. Employment process Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden
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. Employment process Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden University’s Employment
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of Computer and Information Science , within Linköping University . Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
syllabus – ht.lu.se . Assessment criteria The selection process will primarily take into account the applicants’ ability to benefit from doctoral studies. This is assessed against the criteria quality
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning