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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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include experimental activities in Aarhus and/or at Weizmann. We therefore welcome applicants who combine strong analytical skills with initiative, independence, and the ability to shape and drive their own
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: A Ph.D. in biophysics An Msc in physics. Extensive research experience in soft matter and biophysics. Analytical and programming skills for data analysis and ai-based analysis. Good interpersonal and
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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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, 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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must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Some experience with programming and
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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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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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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