31 application-programming-android-"Multiple" positions at Aalborg University in Denmark
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1 The three-year postdoctoral position at Aalborg University on the NAMUR project is focused on creating intuitive systems for controlling multiple robots with natural language. The successful
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the department’s bachelor and master programs How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and
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experts to translate data into impactful insights. Contributing to teaching and supervision within the university's graduate and postgraduate programs. Your competencies We are looking for a candidate with
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bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, biomedical engineering, sports science, public health, and clinical health and
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abilities. A proven track-record of research, through publications in top international journals and conferences, is expected. Applicants should also be proficient in programming for machine learning and
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appointment from 1 January 2026 or soon hereafter. The position is a full-time position for 2 years. The Department of Sustainability and Planning (PLAN) was established in 1975. Today, we are located in both
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. The Department's mission is to meet the future's demands for new materials and production systems by directing the whole value chain from basic material understanding to materials' applications in mechanical
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collaboration? If yes, we look forward to reading your application to our position as Postdoc. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a position as Postdoc in chemical
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The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position as postdoc in the field of data-driven
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is