61 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" positions at Forschungszentrum Jülich
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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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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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of the influence of the electrolyte on the overall cell performance under varying conditions Documenting and visualizing the achieved results in presentations Your Profile: You are enrolled in a master`s programme
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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academic partners, aiming to introduce and understand the new functionalities into an existing lithium‑metal battery technology to achieve high‑performance, sustainable and safe batteries.” Your tasks in
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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, commitment, high degree of teamwork, as well as enjoyment of cooperative collaboration Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical