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(interactive phylogenetic trees, Sankey diagrams). Report generation and statistical analysis • Statistical analysis of viral abundances (Wilcoxon, ANOVA), regression models (R, Python: statsmodels, scikit-learn
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such as SPSS, R or Python; Power BI or equivalent a strong advantage. Demonstrated experience designing and validating quantitative analyses and models, with a focus on rigour, accuracy and reproducibility
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supervision. Analyze behavioral and neural datasets using MATLAB and/or Python. Read and discuss relevant neuroscience literature and participate and present in laboratory meetings. Handle additional related
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, firewalls and common networking protocols (HTTP, DNS, SMB, etc.) Experience with Regex and at least one common scripting language (PERL, Python, PowerShell) Experience with an enterprise SIEM platform
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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Individual will be tasked with helping support image acquisition and processing software for custom laboratory imaging devices. Prior experience in Python, C++, and software project management necessary; prior
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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and robotics, • PLC programming in at least two languages in accordance with the IEC 61131-3 standard, • fundamentals of PLC implementation in industrial networks, • programming in C/C++, Python, and
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opportunities. The chance to help shape a newly funded research line with real clinical impact, within an international network of academic and industry partners. Where to apply Website https
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-throughput data, particularly next-generation sequencing data. Experience in the analysis of Hi-C and HiChIP data. Very good knowledge of at least one programming language used in data analysis, such as Python