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, metamaterials, vibroacoustic and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Demonstrated expertise in inverse problem modelling and acoustic
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organisational abilities for project planning, data analysis, manuscript preparation, and grant writing. Have a good understanding and knowledge in statistical methods using R, Stata, Python, or SPSS. Appointments
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, Python); not a prerequisite but advantageous. Familiarity with research data management, QA/QC practices, and reproducible workflows. Remuneration will be commensurate with the candidate’s qualifications
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference
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data visualisation and mapping for research communication. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research
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, Python, SQL) or statistical genetics tools. • Strong written and verbal communication skills. • Highly organized and able to work effectively independently as well as with a team. The following
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maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP