90 parallel-and-distributed-computing-"Meta"-"Meta" positions at Forschungszentrum Jülich
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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focus on eye tracking Collaborating closely with partners from computer science (IAS-7, RWTH) Presenting your work at psychological and interdisciplinary conferences Publishing your findings in scientific
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an extensive range 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
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, as well you know how to work with a computer You work as a team player to solve problems analytically and work out solutions You are willing to learn something new every day and are willing to participate
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high-performance computing systems at JSC and develop new software solutions for them or enhance existing ones You support our team in documenting and maintaining the software Your Profile: You have
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research position in a dynamic and collaborative environment Extensive opportunities for personal development and training, e.g. through an extensive range of training courses; a structured program of
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for implementations in the context of FAIR data principles, supported by further HMC computer scientists Support for the Helmholtz-wide HMC Hub Information at Forschungszentrum Jülich and in the domain of neuroscience
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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
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Your Job: QENS and INS experiments to investigate the diffusion dynamics of water and ligand molecules on metal oxide nanoparticle surfaces, accompanied by complementary experimental techniques or theoretical simulations Characterization of the magnetic modes in iron oxide nanoparticles using...
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural