415 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"BioData" positions in Denmark
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strong research profile and a dynamic doctoral training program and extensive partnerships with other Danish and European institutes and universities. The IRP-section is responsible for teaching
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At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend position within the general study program. The position is offered in relation to the research group Underwater Technology
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1. March or soon hereafter
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foci of the degree programmes, the successful applicant will be expected to teach in both Danish and English. The successful applicant must complete Aarhus University’s teacher-training programme for
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the academic staff Qualifications Currently enrolled in a relevant higher education program Experience advising or mentoring students—for example as a teaching assistant, tutor, or mentor Knowledge of one
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within physics, chemistry, and pharmacy under one department, which provides excellent opportunities to explore the intersections between these disciplines. Read more about the Ph.D. program at
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PhD-students, post docs and permanent staff. Teaching in the mathematics-economics programme as well as teaching mathematics and statistics at the study programmes in Engineering and Social Sciences
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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Postdoctoral Position in the Research Unit for Robophilosophy and Integrative Social Robotics (RISR)
closely with the three lead researchers of the project, Professor Johanna Seibt (RISR , philosophy), Associate Professor Majken Kierkegaard Rasmussen (Digital Design, Interaction Design research program
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding