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, Python, Java) and good communication, interpersonal, and problem-solving skills are also required for this role. This role meets the eligibility requirements for a skilled worker certificate of sponsorship
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statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in
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statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in
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critical evaluation to current methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and
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potential flapper skate egg-laying sites. The postholder will also generate high-resolution maps and reproducible analytical workflows in R, Python, and GIS platforms. The role involves close engagement with
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, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch
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imaging hardware, as well as programming skills in Matlab, LabView, Python, or a C-based language. Experience in neuroscience research and evidence of creative, original work in hardware or software
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) Strong computational skills (e.g. coding in python, bash, matlab) Demonstrated aptitude for research Problem solving ability Ability to work in a multidisciplinary team Ability to work without close
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the use of scripting languages such as Python, and the statistical package R. Please ensure you read the Job Description and Person Specification for full details of this role, by clicking on the 'apply
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as database