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physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, applied mathematics, or in a similar field, or have completed at least 240 credits
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processes ability to work independently and collaborative some experience or a good interest in instrument development (programming, electronics, hands-on experimental work) some experience and/or a good
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within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with around 170 employees. The position will be at the Division
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, computer vision, and AI for science. The exact details of the research project are decided in a dialogue between the doctoral student and the supervisor. The student will be part of the WASP graduate school
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, please contact: Antônio Horta Ribeiro, email: antonio.horta.ribeiro@it.uu.se , website: https://antonior92.github.io/ Please submit your application by May 19, 2026, UFV-PA 2026/1069. Are you considering
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2 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology » Computer
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to fluorescently labelled AP-L complexes and analyze how the cells accumulate and spread the complexes over time using live cell imaging, immunocytochemistry, ELISA, Western blot, electron microscopy and other
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suitability. The working group is small but highly productive with high demands on collaboration skills. For further information about the position, please contact: Nathalia Vieceli, email, +46761866115
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and characterization of nanocellulose materials. Documented knowledge and experience in electron microscopy, HPLC, liquid chromatography-mass spectrometry (LC-MS) and circular dichroism is meriting
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photolyase proteins) using time-resolved serial femtosecond crystallography at Free-electron laser sources. Time-resolved crystallography is a cutting-edge method to study femto- microsecond structural changes