205 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions in Denmark
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
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-art molecular and metabolic lab with a highly motivated and collaborative team of researchers, which is reflected in our use of English as the day-to-day language. https://corc.au.dk/corc-research
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
may be obtained: From Professor Charlotte Held Gotfredsen, tel.: +45 20650942, email: chg@kemi.dtu.dk with respect to position 1 and 2. Website: https://www.kemi.dtu.dk/english/research/organic
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, with strong expertise in RNA biology, structural biology, enzymology, glycobiology and quantitative proteomics. More information: https://mbg.au.dk What we offer We offer: The opportunity to work in an
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see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3637/?utm_medium=jobshare
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and Distributed Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and
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be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium