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Field
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to plan and execute experiments independently and flexibly Strong team spirit and communication skills Creative mindset and strong problem-solving capabilities Proficiency in commonly used office software
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infrastructures and cyber-physical systems (CPS) face increasing risks from cyberattacks that exploit vulnerabilities in digital communication networks, embedded hardware, and software. In response
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jointly run by the Max Planck Institute for Software Systems (MPI-SWS), Max Planck Institute for Informatics (MPI-INF), the Computer Science Department at RPTU Kaiserslautern-Landau, and the
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to plan and execute experiments independently and flexibly Strong team spirit and communication skills Creative mindset and strong problem-solving capabilities Proficiency in commonly used office software
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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propagation environments. ▪ Implementing selected resilience strategies on software defined radios (SDRs) or vector signal transceivers with up to 4 GHz instantaneous bandwidth. ▪ Using the digital twin
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command-line environments (including remote systems via SSH) and Windows interest in modern software engineering practices (testing, code review, modular design) fluency in English as working language What
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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of this position is the use of AI to support software development teams. Successful applicants must hold an excellent MSc degree (or equivalent, e.g. Diploma) in an AI-related discipline, e.g. computer
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English