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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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and engineering disciplines Qualifications Applicants must meet the following criteria: A PhD in Accelerator Physics or a closely related discipline Documented significant experience innovating
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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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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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equality and diversity as a strength and an asset. Your team In the Automation team, we work with producing electrical schematics, functional documentation, and software integration for all equipment within
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and healthcare. The approach is interdisciplinary and may include concepts and methods from the humanities, social sciences or the arts, but also law, economics or engineering. The position reflects
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regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made