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Field
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Linux environment using C/C++, Python, and Bash. Create supporting documentation for software and systems. Maintain and test new and legacy code. Participate in data collection exercises, data management
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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-resolution imaging, hyperspectral imaging, and single-molecule tracking. The ideal candidate has experience designing and implementing optics hardware (ideally microscopes), is fluent in Python and/or LabView
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levels depending on their qualifications. Key Responsibilities: Conduct deep and thorough review of subject literature. Import datasets into a variety of software applications including R, SAS, and python
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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application of complex algorithms very good programming skills in Python independent, structured way of working and ability to work in a team business fluent in English We offer: the chance to contribute
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inventory, and digital organization of lab activities across multiple ongoing studies. We are looking for someone who can implement and maintain strong organizational and administrative processes
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with sequencing data analysis and conduct meta-analysis for pathogenic variants across multiple datasets. Supporting the interpretation of results and contributing to the writing of manuscripts
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platform and coordinating the integration and testing of commercial cellular equipment. The candidate must have fluency in multiple programming languages such as bash scripting, C++ and Python and comfort