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Research and Management Science and/or disease modeling Knowledge in and practical experiences with programming (e.g., Python, Java, Julia, R, etc.) Knowledge in healthcare operations management
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. Experience in bioinformatic WGS data analysis and interpretation from bacterial isolates for AMR surveillance and/or genomic epidemiology. Proficiency in relevant bioinformatics tools and programming
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metagenomic analysis, including taxonomic and functional profiling Strong programming skills (e.g. Python and/or R) and experience with HPC or cloud environments Solid statistical skills and
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of the analysis. As a candidate, you should have: A strong quantitative background in remote sensing, satellite geodesy, glaciology, or a closely related field Solid programming and data-analysis
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transcriptomics pipelines. High proficiency in standard programming languages used in bioinformatics (e.g., Python and/or R) and familiarity with working on large-scale computer servers. A strong history of
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-fate reprogramming and genetic engineering approaches. Design and construct molecular tools and viral vectors for neuronal programming, tracing, functional manipulation and live-cell imaging. Develop
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, analysis and programming Familiarity with two or more of the following areas: nanocrystal or colloidal synthesis, transition metal / homogeneous catalysis, computational chemistry (DFT), machine learning
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, and/or mathematics are also encouraged to apply. Proven programming skills are highly desirable – again with an emphasis on machine learning applied within the broader chemical and physical sciences
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multiple sources of evidence and managing uncertainty. Experience with quantitative analysis, modelling, and programming is required. The following qualifications will be considered an advantage
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materials, catalysis and/or surface science. Strong skills in scientific programming, e.g. using Python, is expected. Moreover, the candidate should have obtained an excellent academic track record