120 master-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM"-"IFM" Postdoctoral positions in Denmark
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(diploma for master's, PhD and possibly higher doctoral degree) List of publications (the enclosed publications must be clearly marked on the list of publications) Publications. Up to three publications can
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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full pipeline of procedures is established and ample microscope time, generous resources, highly skilled support staff and thriving research communities are available to the project. Both primary
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material, and the application must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (original and an official English translation). Complete list
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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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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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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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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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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