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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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individually, make a real difference. The role This post will investigate how cognitive performance can be predicted using multimodal physiological measures and modified through non-invasive brain stimulation
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different radar configurations and be efficiently adapted to multiple downstream perception tasks with limited labelled data. An important research direction is the transfer of representations from vision and
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of the transfer What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python, ideally with PyTorch Experience or interest in
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you contribute You are currently studying computer science, robotics, mechanical engineering or a comparable field Basic knowledge of Python, ideally with PyTorch Familiar with ROS2 Interest in multi
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monitoring regarding reaction time and situational awareness What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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along with experience in bioinformatic or population genomic analyses, including processing high-throughput sequencing (NGS) datasets. Strong programming skills (e.g., Linux/Bash, R, Python) and
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or ability (Python, PowerApp, Xcode, etc). •Preferred general understanding of research life cycle (equipment, testing, validation, industry sponsored research/grants, statements of work, proposal development
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that capture ILC-specific morphology and biology while remaining robust to differences between hospitals, scanners, staining procedures and protocols. The researcher will investigate self-supervised and