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biological samples using chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian
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infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this
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can be found on the university's doctoral student pages. https://medarbetarportalen.gu.se/doktorand/?languageId=100001&skipSSOCheck=true We offer The University of Gothenburg is a state authority
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, you will develop and apply analytical workflows for the detection and identification of known and previously unknown compounds in complex soil matrices, including sample preparation, extraction and
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requirements elicitation, runtime drift detection and specification) introduce novel adversarial attack surfaces that conventional RE methods are not equipped to defend against, requiring new approaches for
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. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD
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structure of these networks shapes response diversity and ecosystem resilience. Using network analysis and community detection methods, the project will identify groups of species based on their
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, for example in snow, fog, low-texture scenes and with unreliable GNSS or magnetometer data - Sensor health monitoring and fault detection, so that the autonomy systems can detect when a sensor can
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thematic areas addressed are the future's new smart healthcare solutions and e-health processes, which includes activity recognition using sensors and IoT infrastructure, anomaly identification/detection
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psychoactive substances. As a PhD student, you will participate in a project aimed at improving the detection, characterisation and interpretation of emerging drugs. The project is expected to include