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Field
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the application and theory of electromagnetic geophysical methods, especially magnetotellurics Sound computer skills in Windows and Linux Demonstrable, sound programming knowledge and experience in at least one
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Design, set up, and operate experimental systems for circuit-level measurements and data analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer
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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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» Programming Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type
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style and initiative Strong teamwork and organizational skills Comprehensive computer skills We Offer Meaning: We offer meaningful work for the world of tomorrow. Our internal continuing education program
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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application (max. 5 pages) Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS