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Field
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Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
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of extensive omics data adaptation and application of methods from explainable artificial intelligence to understand gene regulation at different levels of abstraction adaptation and application of foundation
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data analysis on Matlab. • Developing and using models to characterise the soft robots (both sensor and actuator). • Knowledge of programming (C/C++/python/MATLAB), using a prototyping board like Arduino
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in English. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision
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communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses
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. Applicants with an education from an institution with a different grade scale than A-F, and/or with other types of credits than sp/ECTS, must attach a confirmed conversion scale that shows how the grades can
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enables fair and consistent evaluation of navigation capabilities across different robotic systems. Task 2: Benchmarking Whole-Body (Co-)Manipulation The candidate will define and implement dexterity
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analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending on competence: contributing to research software development supporting simulations and/or data workflows
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grazing collaborative study. The fellow will have the opportunity to participate on a project that focuses on determining the impacts of adaptation to different grazing management systems and environments
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assessment and automated intelligent decision support, allowing operators, First Responders (FRs) and security agencies to proactively address threats or hazards. Unlike traditional monitoring solutions