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technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a
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in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. Excellent
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communication skills and the ability to work in a multidisciplinary research environment. A strong publication record or clear evidence of research productivity will be an advantage. Our lab uses Python, MATLAB
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, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage. Key Competencies Ability to build and
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Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external
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experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing and integrating
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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-based applications (e.g., AWS, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with