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include: Lead the design, development, and delivery of AI and automation solutions using Python, APIs, Power Platform, and PaaS tools. Co-develop and support AI infrastructure, including lifecycle
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connectivity compared to younger women. The Scholar will use a custom python code on high-resolution confocal laser scanning microscopy-derived images of the network to map and quantify canalicular density and
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and implementing statistically valid field-based soil research, including proficiency in statistical analysis and data interpretation using modern software (e.g., R, Python). Excellent communication and
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languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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record of publication in quality, peer reviewed journals. A history of professional and respectful behaviours and attitudes in a collaborative environment. Desirable criteria Experience with python and
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environmental/operational datasets using tools like Excel, Python, or R. You enjoy turning complex standards and frameworks into clear, repeatable methods—and you’re comfortable building your expertise as
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period (until 30/1/2027). About the person Strong professional experience as a full stack developer, ideally with deep capability in Python/Django plus modern JavaScript/TypeScript and a frontend framework