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) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as an innovative biodiversity monitoring tool to detect and analyze spatio-temporal changes in
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: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as
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prospective study, this tool will be applied to examine how these preferences evolve for prostate cancer patients in response to changes in survival and HRQoL prospects. The candidate will contribute to mixed
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project and current progress shall be included. The summary can, at most be five pages, including figures and references. Your GMAT (or GRE) and TOEFL/IELTS test scores if available. Contact details
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doctoral courses and be part of the department's researcher school. The project involves the following tasks: - Laboratory-scale testing of beneficiation processes, including froth flotation, and
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unit specifically can offer as a workplace. Read more on the University website about being a Lund University employee Work at Lund University. Work duties You will develop methods to examine molecule
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testing, program verification, program logics, programming language semantics, type systems, programming language implementation (e.g. compilers, runtimes, GC), software engineering, debugging. Rules
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researcher school. The project involves the following tasks: - Laboratory-scale testing of beneficiation processes, including froth flotation, and purification methods. - Characterization of feed and product
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. We are looking for a graduate student who can work independently and take initiative. You should enjoy developing and testing new ideas. You need to have good cooperation skills as the work involves
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optimisation technologies. The methods must be tested on real data. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties of at most 20%, including