271 machine-learning "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs in Sweden
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project
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: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: 1 of June or as agreed
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by interdisciplinary collaboration, applied research projects, and access to advanced development, simulation, and visualisation infrastructures. Where to apply Website https://www.bth.se/english
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metaproteomics approaches Analyzing large-scale multi-omics and clinical datasets to investigate individual metabolic responses to diet. The work includes applying advanced statistical and machine learning methods
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cutting-edge research, expertise, and competence building in the humanities and social sciences. More information about WASP-HS: https://wasp-hs.org Duties As a postdoctoral fellow, you are primarily
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of Applied Animal Science and Welfare Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24
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, and demonstrated ability to develop computational pipelines for biological datasets. Experience in statistical modeling and/or machine learning applied to biological systems, with the ability to link
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at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). Read more about our benefits and working at SLU by visiting: https
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position is associated with the Robot Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https