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to work at Uppsala University. Duties The PhD student will carry out research in signal processing and machine learning with a strong emphasis on theoretical foundations. The PhD student will actively
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meets the general admission requirements to enter into third-cycle (PhD) courses and study programmes if the applicant (at the point of entry): has been awarded a second-cycle (MSc) qualification, or has
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and systems based on III-V and CMOS process technologies for signal amplification, conditioning, sampling, and wireless data transfer for sensing systems that operate in harsh environmental conditions
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are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
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, signal processing, or another closely related technical field. The applicant should also demonstrate an interest in health technology and the ability to work with complex and large-scale health data using
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, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
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). For more information: https://www.cordis.europa.eu/project/id/101225380 Research focus The PhD candidate will work on one or more of the following interconnected areas: AI‑ and machine‑learning‑based
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-nitride devices and circuits. Our research in GaN HEMT technology target application within wireless communication and radar systems. About the research project This PhD student position will focus
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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, and ERC Consolidator grant (DETOXPEST) and aims to establish a public, cross-species “pan-terminome” knowledge base of plant proteoforms and to uncover how conserved proteolytic processing