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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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, 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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of Physical Chemistry in the work group for Chemical Sensing and Rapid Analysis at the Faculty of Chemistry, characterized by excellent research in biomimetic sensing. Especially, it is on the forefront
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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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. The research is centered on the description, critical analysis, and scientific explanation of phenomena of education. Your subject area will include the education and trainingprocesses in specially
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the field of brain function and structure (ideally in relation to multilingualism and memory) Background in biomedical engineering Experience in advanced analysis of brain functional and structural data
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in
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, 2D and 3D echocardiography with scientific workstation, dynamic stress echocardiography, bicycle, treadmill and rowing ergometry, lactate and mobile blood gas analysis, spiroergometry, strength
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teaching. This is part of your personality: Completed doctoral/PhD studies in psychology. Experience in the field of scientific intervention research. In-depth knowledge of quantitative data analysis methods