180 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in Sweden
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today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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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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dimensions andanalyse particle trajectories using a combination of established tracking algorithms and machine-learning-based approaches. You will further correlate the diffusive behaviour of viruses
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creative and stimulating environment with the opportunity to network with both the business community and international contacts. Read more about our benefits and what it is like to work at SLU at https
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their potential. Join us on our journey in finding new ways to work, pioneering cutting-edge methods and bringing unexpected teams together! How to apply? Read more and apply at: https://astrazeneca.eightfold.ai
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transcripts, details of referees, letters of recommendation, etc.)” We look forward to receiving your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910848/type:job/where:39/apply:1
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at https://www.slu.se/en/about-slu/work-at-slu/ Description: We are looking for a PhD to focus on separation of fat and proteins from dairy side streams and plant-based extracts. The project is a
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based