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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data
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reporting statistical analyses including model development and sharing of open code. - Lead on research publications and outputs, writing first drafts, as well as collaborating with colleagues to support
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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good understanding of biomedical signal processing Proficiency in Python coding Knowledge of statistics and physiological signal analysis Good understanding of photoplethysmography and Near-infrared
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal
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of internationally recognized research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant, with many visitors, seminars, international conferences