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. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience in autonomous navigation
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intelligence, machine learning, deep learning, environmental modelling, climate-health research, early warning systems, or related fields. Have strong programming and computational skills in Python, R, MATLAB
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC
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. Demonstrated competence of programming languages, such as Matlab, R, or Python, within a GIS environment Ability to publish and communicate effectively to both technical and non-technical audiences Ability
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a
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, Statistics, or a related field. • Coding: Proficiency in Python (NumPy, Pandas, Scikit-learn). Knowledge of C++ or SymPy is a major plus. • Machine Learning: Strong understanding of machine learning
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Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413018/research-fellow
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and