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qualifications: PhD in medicine, natural sciences, or related disciplines. Documented experience in authoring scientific texts. Excellent spoken and written English skills. Experience with the full lifecycle
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quantitative and qualitative data. Familiarity with student-related issues or experience with survey tools and statistical software. Demonstrated ability to write clear and well-structured reports. Experience
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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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. 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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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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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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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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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
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
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the summer. As a laboratory assistant, you will support researchers with practical tasks such as sample preparation, analytical methods, plant material handling, and other duties that facilitate experimental