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research, interdisciplinarity, as well as close and boundary-crossing collaboration with wider society. The Faculty’s research environment and PhD-education are markedly international and, alongside
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of chromatographic fractionation and mass spectrometric identification or high-content imaging (Cell Painting) methods for characterizing recycled plastics and plastic-associated chemicals. The doctoral student
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. Experience of method development regarding restoration measures and criteria for measuring biodiversity will also be considered. The position will be offered to the person who, after a qualitative overall
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"Beyond 3D points in Sparse Visual Mapping". Research subject The research area for the current call is computer vision and machine learning, with a focus on methods for visual localization and mapping
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but also of related administrative matters. A PhD in a relevant field is required. Strong record of success in your own research career (documented by e.g. peer-review publications) and in research
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your publications. A copy of the PhD certificate and other relevant degree certificates. Other relevant documentation you wish to include in support of your application. If there are questions, please
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involves building prototypes, developing measurement techniques, interpreting data, and creating fabrication methods in the nanofabrication lab. You will also join our journal club to gain general academic
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culturing and cell-based assays. Strong analytical skills and attention to detail are essential. Experience with high-content imaging is advantageous. You should be organized, methodical, and able to work
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Ecology and Environmental Science are seeking a Staff Scientist with a PhD in Limnology or
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with 25–30 active PhD students at the department. Work duties We are now looking for teaching assistants in FRTF05 Automatic control, basic course (study periods 1 & 2), FRTN65 Modeling and learning from