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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess
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assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable exoskeletons and bionic limbs
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their PhD before January 2026 are also encouraged to apply. Applicants should demonstrate proficiency in programming languages and tools commonly used in computer science. Hands-on experience with genetic
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, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In
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to the high numbers of people that are affected, it is difficult to find sufficient support. Furthermore, access to knowledge on self-management of the diseases is limited. Within the project
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contribution to marine conservation strategies. You will join a small but diverse and multidisciplinary team of research assistants, PhD candidates, residents (specialists-in-training), veterinarians
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Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital
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which circumstances by analyzing complex behavioral data? Do you want to contribute to the development of innovative, adaptive solutions that support healthier lifestyles? And does working in
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in celestial mechanics