914 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Sweden
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Field
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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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Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments
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transcripts, details of referees, letters of recommendation, etc.)” Welcome to apply! Where to apply Website https://lu.varbi.com/en/what:job/jobID:907263/type:job/where:39/apply:1 Requirements Additional
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the instructions in the job advertisement, and that it is submitted before the deadline. The instructions for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en
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https://su.varbi.com/en/what:job/jobID:911988/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldChemistryYears of Research
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
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Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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interact with owners, students and colleagues. You also need to meet the requirements for approval as a resident according to EVCS guidelines (see information brochure on the ECVS website, https
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methodologies from field and greenhouse experiments to genetics, genomics, phenomics, gene editing, biochemistry, physiology and modelling. For more information about the department or division visit: https