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experimental scientists. Desirable (but not required): Experience with imaging technologies (e.g., Xenium, MERFISH, seqFISH) and associated data formats Familiarity with cloud computing environments or high
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test multi applications. Within this project we will design a ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D
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Computer Science. The doctoral programme is conducted within the framework of the REMATH II graduate school (Researching Practice-Based Mathematics Teacher Education), which is financed by the Swedish
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an international environment, surrounded by colleagues, with great opportunities to influence and develop. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from
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duties are to do defect analysis and development of new techniques for sample preparation and imaging (for instance using luminescence and microscopy). Also, computer simulations can be performed. Examples
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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duties (no more than 20%). Admission requirements A person meets the general entry requirements for the doctoral program if he or she: has been awarded a second-cycle qualification, or has met
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can understand, use, and critically examine AI - while preparing future teachers for a school system where AI is becoming increasingly important. The research program is characterized by
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environments that enable a high quality of life. The profile aligns with the new study programme in tourism and place design that started in the autumn semester of 2024. Place design extends beyond physical
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep