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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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is on fundamental limits, and development of algorithms and methods. Applications can be found in, for example, signal, image and video processing for autonomous vehicles and swarms of drones; massive
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. Experience with the following methods/techniques is also considered valuable: Isolation of immune cells from tissues and blood Tissue staining and imaging using confocal microscopy and image analysis Molecular
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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must also have proficiency in single cell electrophysiology and high throughput calcium imaging using genetically encoded calcium indicators (GECI). In addition, the applicant must have experience in
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https://liu.se/en/research/laboratory-of-organic-electronics/open-positions-at-loe Street Department of Science and Technology, Linköping UniversitySE-601 74 NorrköpingSweden Postal Code 60174 E-Mail
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devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping profiles
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(Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit . The focus of this specific PhD project is to explore
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University and Lund University within the ELLIIT programme (https://elliit.se/ ) and aims to develop the next generation of intelligent sensor systems capable of providing reliable situational awareness in