380 master-"https:"-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in Denmark
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) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of
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models. Your primary tasks will be to: Development and optimisation of nanoformulations for cancer therapeutics Physicochemical characterization of nanomaterials using FTIR, DLS, TGA, sp-ICPMS, TEM, SEM
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always include a copy of original diploma/certificates. We only accept files in pdf-format no more than 10 MB per file. In case you have more than one file per field you need to combine the pdf-files
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expected to master both. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and
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of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and the environment. We want to make a difference
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of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will consist of: Independent
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research, as documented by publications in relevant international journals and conferences. Your primary tasks will be to: Your primary tasks will be to: Develop advanced compartment models for multiphase
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contaminant profiles, supporting national and international food safety monitoring and policy development. Responsibilities and qualifications Your primary responsibilities will be to: Collect and process
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Support to create and deliver the best offerings for DTU’s students and researchers on their journey towards a start-up. Primary tasks include: Coach researchers and research-based start-up teams from first
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main tasks will consist of: Independent research of high international quality, including publication. Establishing and refining multi-modal workflows for integrating and analyzing spatial datasets with