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students. More information is available at: www.cs.aau.dk. The DESS group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160
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support the PI in both the strategic and operational aspects of project execution. Has strong analytical skills (e.g. statistics and data analysis) and experience with qualitative research and/or survey
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including CO2 and CH4. Responsibilities Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and analytics including HPLC and/or LC/GC-MS
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Africa as well as the United States. Project publishing in high-quality scientific journals: Through project development and research, collect and organise data systematically for publication of research
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inorganic syntheses Develop and optimize electrochemical experiments and measurements Characterize materials and compounds using standard analytical techniques Analyse data and document results Collaborate
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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experience with large-scale health data and epidemiological or related analytical approaches and methodology. Some experience with programming and with data science or AI-based methods will be considered
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hold a PhD degree, or have obtained one at the expected start date, in data science, epidemiology, or a related discipline. International applicants are encouraged to apply for the position. Applicant