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Field
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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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) design, integrate, and optimise the portable EEG system; (c) assist in EEG/MEG experiment design and data acquisition; (d) process and analyse EEG/MEG data using Python/C++ and deep learning/brain
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experience at the time of application; (b) have some relevant research experience; (c) have experience in writing research papers and proposals; (d) have proficiency in SPSS/R/Python, Excel, EndNote
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) have some relevant research experience; (c) demonstrate research interest in working with people living with mental health challenges and family carer; (d) have proficiency in SPSS/R/Python, Excel
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analysis and multi-omics data integration workflows using Python/R Integrate digital pathology data with omics data (e.g., MS-based proteomics, spatial proteomics) Develop and drive independent project ideas
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programming and IT skills (i.e., Matlab, Python) Strong interpersonal and team building skills Excellent communication skills Demonstrable managerial and leadership skills, with ability to motivate staff
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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programming and data analysis using R, Python, MATLAB, or comparable platforms. Skill in oral and written scientific communication, as demonstrated through peer‑reviewed publications and conference
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Resources, Geography, or related fields. Experience in processing and analyzing LiDAR data using open-source scientific programming languages (R or Python). Desirable requirements: International publications