28 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Forschungszentrum Jülich
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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You are familiar with high vacuum technology: diverse flange systems, pumps, and leak testing You work independently in the lab as well as in managing projects You can work hands-on and know how to use
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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support and training in classical and quantum modeling, quantum algorithms and computation, and battery materials and technology Further development of your personal and interdisciplinary strengths through
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mechanical components (e.g. fast shutters) Preparing visualizations, reports and documentation for future experiments Your Profile: Very good grades in your current bachelor studies in mechanical engineering
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subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi