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that control synaptic transmission and plasticity at various levels and using a variety of techniques and analysis tools that we developed. Where to apply Website https://www.academictransfer.com/en/jobs/359921
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innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work
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an experienced researcher with a PhD in Geography, Sociology, Politics, Anthropology or other cognate disciplines have excellent English-language (along with other languages mentioned in the desirable criteria
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an experienced researcher with a PhD in Geography, Sociology, Politics, Anthropology or other cognate disciplines have excellent English-language (along with other languages mentioned in the desirable criteria
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and communication work at our exhibition venues Museum Koenig Bonn and Museum der Natur Hamburg, we want to spread enthusiasm for nature and contribute with our research topics to current socio
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FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Phd in Physics, Materials Science, Electrical Engineering, Photonics, or a similar field. Expertise in epitaxy is a must. Expertise in at least one of
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of the project MESSENGER: « Can rock-powered Microbial EcoSyStEms provide valuable iNsiGhts into early life and its emERgence? » funded by the PEPR ORIGINS (https://pepr-origins.fr/en/ ) and integration
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multimodal modeling, interaction design, and adaptive systems. Job requirements We are looking for applicants who have or expect to receive a PhD degree before joining the project. Applications have a relevant
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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rank and step at appointment. See the following table for the current salary scale for this position . A reasonable estimate for this position is $69,073 - $82,836 Percent time: 100% Anticipated start