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Field
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in Matlab, Python, C/C++, Robot operating system (ROS) Personal qualities Personal suitability and good teamwork skills will be emphasized in the evaluation as well as relevant practical experience
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using challenging, noisy industrial datasets (e.g., anomaly detection, predictive maintenance data). Code Maintenance & Documentation: Write clean, efficient, and reproducible Python code (JAX/PyTorch
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DAS datasets, including signal processing, quality control, feature extraction, system identification, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C
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++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills
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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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Python, C++, or Julia, with strong signal processing, numerical modeling, and data analysis skills; experience with Git-based workflows and AI/ML for science is a plus. Hands-on experience in structural
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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
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models, and/or terrestrial biosphere models. 4. Proficiency in at least one programming language, such as MATLAB, R, or Python. 5. Ability to work effectively in an interdisciplinary and collaborative
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in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience
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, computer science, or a related field Strong analytical, quantitative, and coding skills (particularly in Python) Experience handling and analysing large-scale biological datasets Track record of writing papers as