219 machine-learning "https:" "https:" "https:" "UCL" Postdoctoral research jobs in Denmark
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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the business community. For more information: https://bce.au.dk/en/research an exciting interdisciplinary and international environment at a university that consistently ranks among the world’s best universities
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The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
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opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application, salary etc. The successful
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scientific staff and 85 PhD students. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus University offers a
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for the human societies https://www.sdu.dk/en/forskning/sdu-climate-cluster . The work language is English. If the application is successful, the postdoc candidate will be based at SDU with opportunity of a
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sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons for applying, qualifications
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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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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