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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC
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biology: “How can cells control processes in space and time to achieve a fine-tuned regulation? To uncover this fundamental question, we aim to understand the formation of liquid, biomolecular condensates
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We are seeking a highly motivated and dynamic PhD student, who is enthusiastic about neural dynamics and sensory processing. The focus of our research is how the combination of sensory signals and
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contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment
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detailed local inspection. Digital twin simulations: Developing simulation environments replicating sensor characteristics and anomaly conditions to test perception algorithms under controlled, repeatable
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applied to ensure smooth collaboration. Digital twins: Utilizing digital twin simulations to test and refine control and localization strategies in virtual environments. The PhD candidate will create a
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disease as well. Description of the candidate: The successful candidate is expected to hold: A master degree in biomedical engineering or equivalent. Excellent programming and signal processing skills
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as
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Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical experiments. Interest in connecting theory
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. Ensure that the develop methodologies provide transparency and trustworthiness in the decision-making processes of autonomous systems. Disseminate research findings through academic journals and