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* Familiarity with next-generation sequencing library preparation and quality control * Basic bioinformatics skills for analyzing pooled screening data (R or Python preferred) * Experience managing complex multi
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to provide visa sponsorship for this position. Basic Qualifications: Proficiency in coding (Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills. Familiarity with one of the AI
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in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems Familiarity with cloud infrastructure, Docker (ideally Kubernetes), CI/CD, and
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, UCPath, Student Information System (SIS)). Requires expertise in Javascript, SQL, Python, Stata, or R for data cleaning, data preparation, and statistical analysis. Experience using LLM APIs (prompt design
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qualification in the biological sciences) or progressing towards a higher qualification. Experience in High Performance Computing environments and fluency in programming languages such as R, Python, Perl, etc
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understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience
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dashboards using programming languages and tools like SQL, R, Python, Shiny, and/or Power BI Conducting data analysis, data quality assurance, and quality improvement projects Developing protocols and
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Are you excited by the challenge of helping turn raw data and bold ideas into real-world AI systems? Do you thrive on fine-tuning models, writing clean Python and solving thorny technical problems
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development of open-source tools e.g. in Python, R, Matlab or Excel to contribute to the energy transition of Consumer Energy Resources (CER), including: Handling and analysis of large real-world datasets from
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of the following: Python, C++, or Java - Successful experience developing software in either Windows or Linux environments - Experience with version control software such as Git - Willing to travel ~10% to remote