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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside collaborating with other researchers within the program
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analysis, and experience with the R software; - interest in modeling; - ability to work in a team and independently; - ability to communicate/report clearly in English, both orally and in writing
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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the digitisation process. You will work closely with the project’s Research Software Engineer and provide material for the digital edition of Woolf’s library according to the project’s schedule. You are prepared
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annotation of links between his reading and his writing. You will report to the project’s PI on a weekly basis. You will work closely with the project’s Research Software Engineer and provide material
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: To assess the E-field exposure of new-generation radios using software-defined-radio data acquisition systems and embedded AI analytics. To design low-complexity AI algorithms that can work with limited IQ
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tailored to high-resolution high-throughput imaging assemble, align, optimize and validate the microscope using reference samples expand existing software with data analyses tailored to the new microscope