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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https://doi.org/10.1126/science.1253920 [2] An RNA origami robot that traps and releases a fluorescent aptamer
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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, Skills in Python, R, GEE, or other relevant programming environments in the satellite remote sensing field, Experience working with high-resolution imagery and aerial photos, Skills in academic writing and
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent