95 affective-computing-"https:" "https:" positions at Forschungszentrum Jülich in Germany
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Solid knowledge in mathematics (linear algebra
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of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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engineering, information science, and domain-specific research TEAM CULTURE: A collaborative team culture that values pragmatic solutions, high technical quality, and effective teamwork IMPACT & INNOVATION
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Your Job: The CROP (Combining ROot contrasted Phenotypes for more resilient agro-ecosystem) project aims to estimate the beneficial impact of combining contrasting wheat root phenotypes in the same
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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, renewable energies, industrial engineering, materials and earth sciences, or a comparable degree program You are required to have a fluent command of written and spoken English with an extensive vocabular
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command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), German is a plus Our Offer: We work on the very latest issues that impact our
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug