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of diabetes or similar chronic conditions The candidate is expected to contribute to the planning and execution of the DiaTRUST trial (DOI: 10.1186/s13063-024-08588-7). Therefore, prior experience with clinical
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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relevant, but not mandatory: Experience and skills within gravity field modelling Programming skills Fieldwork experience GNSS processing Navigation and sensor fusion Quantum gravimetry It is expected
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influenced later testing of multi-antenna devices in 4G and 5G radios. The group is well known for its strong relationship with industry and experimentally based research, which is enabled by world top-notch
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, sequencing, cell cultivation). Plan, perform, and analyse yeast and immunological experiments independently, driving the project forward (e.g., cellular assays, immunoassays, flow cytometry, cell sorting
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electrochemical characterization Experience with either electrolysers or flow batteries Experience/engineering skills with construction of experimental setups Good skills in communication of research results
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on the development of anti-infective drugs and vaccines using the pig as a model platform. Main tasks will include the design, coordination, and execution of pig experiments, and assessment of drug and vaccine
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. The applicants must demonstrate practical experience with heat transfer simulations and materials testing. (Please shortly describe concrete examples of your own relevant previous work involving these topics
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Qualifications We are particularly interested in candidates who can demonstrate experience within the following areas: Required (all): PhD degree in Mechanical Engineering or related field. Documented research