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identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich
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qualitative methodologies (e.g., in-depth interviews, participant observation, participatory approaches, document analysis, etc.) and/or the motivation to learn new ones. - Passion for research and the tenacity
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. Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). Ability to independently learn
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
technologies, enables learning in a multi-cultural environment and opens exceptional opportunities for training and career development. Interested candidates should submit a CV, cover letter, academic
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AI-driven system operating in adversarial environments. The department offers a dynamic and growing research team, with a collaborative and supportive environment for research and learning. Be part of
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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