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. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Application
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three schemes. This role is ideal for a candidate with a passion for administration, a keen eye for detail, and the ability to manage multiple processes concurrently to a high quality standard. You will
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three schemes. This role is ideal for a candidate with a passion for administration, a keen eye for detail, and the ability to manage multiple processes concurrently to a high quality standard. You will
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methods or data processing is desirable Very good command of German and/or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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department’s ‘IT Forensics’ area of expertise on our website: https://www.sit.fraunhofer.de/de/itforensics/ Examples of our professional development courses that you will participate in: Disk and RAM
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to detail. Ability to manage multiple tasks and prioritise effectively. Strong customer-service orientation and communication skills. Good knowledge of Microsoft Office applications. Experience with
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to detail. Ability to manage multiple tasks and prioritise effectively. Strong customer-service orientation and communication skills. Good knowledge of Microsoft Office applications. Experience with
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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
excellent opportunity to get to know the landscape of autonomous robot navigation. Be part of change Your work will include implementing features in multiple software components such as robot
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | Mülheim an der Ruhr, Nordrhein-Westfalen | Germany | 28 days ago
data protection for applicants can be found on our homepage: https://www.cec.mpg.de/en/career-education/data-protection-information-for-applicants Contact Max Planck Institute for Chemical Energy
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Systems) , an agent-based World–Earth model developed with the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision