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, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https://euroveg.org/eva-database and ReSurveyEurope, https://euroveg.org/resurvey
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the field of empirical social research, combining different types of data (narrative and linguistic data, observational data and field notes, autobiographical documents and artefacts) and applying your
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visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
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laboratory skills involving vacuum physics, laser physics, quantum optics tools, lab software and data acquisition, cluster physics and mass spectrometry. Knowledge: experimental experience with macroscopic
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, utilization of software tools, and integrated data analysis. Receptor Biochemistry: Sound knowledge of the function and regulation of taste GPCRs and their involvement in metabolic networks. Publication Track
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in a team and on interdisciplinary research projects. Knowledge of image-based modelling and geographic information systems (preferably QGIS) is desirable. During the initial period, you must
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approach. Further information about current and past research of the lab can be found on our webpage https://scan-psy.univie.ac.at/research/ Your future tasks: We are looking for a postdoc in environmental
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document the data reduction and photometry pipelines required for high-precision time-series photometry. You help coordinate the observatory’s participation in international follow-up programs (e.g
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/ experience in e-learning (TARGET CRITERION) IT skills (Office products, data evaluation, Python) (TARGET CRITERION) Team player and high social/communicative skills (TARGET CRITERION) Knowledge of MIP
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. Space for personalities. Since 1365. Data protection Application deadline: 10/02/2026 Post Doc