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Field
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/ experience in e-learning (TARGET CRITERION) IT skills (Office products, data evaluation, Python) (TARGET CRITERION) Team player and high social/communicative skills (TARGET CRITERION) Knowledge of MIP
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assembly, annotation and phylogenetic or pangenomic analysis, and be confident working in Linux and high-performance computing environments using R, Python, or equivalent tools. You will also need a strong
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, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills. Experience using R, Python or other statistical programming languages to analyse biological
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. Experience using R, Python or other statistical programming languages to analyse biological data would be advantageous. You should be able to work independently, demonstrate excellent organisational and
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using codes in high level programming language such as python. Knowledge of earthquake source seismology observation/theory/modelling. Use of probability/decision trees and predictive models. Use of AI
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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discipline. They should have strong computational skills, including experience with UNIX/Linux and programming in Fortran, Python, or other high-level languages. Candidates should also demonstrate the ability
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including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing to publications/presentations as well as the ability to manage your own academic
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science related discipline. You will possess established expertise in data analysis including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing