148 systems-science-"https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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Economics at TU Dresden in cooperation with the Resource Strategies Department of Jülich System Analysis at Forschungszentrum Jülich. This thesis aims to publish a research article in a renowned international
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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measurements Opportunity to participate in experiments at large-scale facilities (synchrotron and neutron) Your Profile: You are studying chemistry, crystallography, materials science, applied geoscience and
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality
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Interest in issues about nanoelectronics and surface science Previous knowledge in lithography, surface characterization, or electrical characterization is desirable High degree of motivation and reliability
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partner is possible Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in
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Your Job: You will be a member of a consortium of leading research institutes and an industry partner. Your task is the build-up of a predictive model for tandem cell stability. Your tasks in detail