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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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them using techniques such as Mössbauer spectroscopy. It also involves analysing data and preparing publications. Your profile The applicant will have experience in surface physics, particularly in
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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GC-009 in the subject line. Your application should include: Cover letter Curriculum vitae Academic transcripts Contact information for two references About LMU Munich LMU researchers work at the
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are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience