385 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"J" positions in Denmark
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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data collection for assembly tasks. Defining robot experiments in simulation and on the real systems. Robot programming in python. We are interested in candidates that can cover both areas as
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programs as well as part-time professional master programs. The department is located on three of the University of Southern Denmark’s campuses in Odense, Sønderborg and Esbjerg, respectively. The department
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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experience in complex research, innovation, or international development environments from academia or the private sector. You have demonstrated experience managing multi-stakeholder research programs within
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, the candidate should have solid programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidates will
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research experience in wetland biogeochemistry Experience with stable isotope analysis and modeling Proficient quantitative skills with data analysis and programming in R An ability to collaborate within
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas