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. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
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bioinformatic WGS data analysis and interpretation from bacterial isolates for AMR surveillance and/or genomic epidemiology. Proficiency in relevant bioinformatics tools and programming languages (e.g., Python, R
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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or Python Can work independently and demonstrate critical thinking This is a part-time position with flexible working hours. The estimated workload is 10 hours per week. The expected start date is 1 April
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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skills in Python and experience with deep learning frameworks (e.g., PyTorch); Experience with distributed systems and edge AI; Strong publication record in reputable conferences or journals relative
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programming language (e.g., R, Python) Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil
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An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and