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in a premiere research laboratory whose work focuses on neural circuits for social communication and sensorimotor integration using the fruit fly Drosophila as a model system (see
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is settled based on the analysis of the documentation submitted by the candidates. The result of the competition will be announced at the University website https://careers.mug.edu.pl/61031.html
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine
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people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Functional neuroimaging group (https://fnimg.iit.it/it
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for additional job details https://lukasiewicz.gov.pl/kariera/ Work Location(s) Number of offers available1Company/InstituteIntitute of Industrial Organic ChemistryCountryPolandState
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to explore novel RNA modifications and to elucidate their functions and underlying
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sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work are fieldwork, laboratory analysis, data evaluation and academic publishing. The employed post
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qualified and experienced adjunct faculty member to teach courses in Forensic Psychology. This position may involve instructing graduate students in statistical analysis, research methods, criminal behavior
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the institution. The Part-Time Project Manager will play a critical coordination and execution role by supporting the internal IAM specialist, helping manage internal stakeholders, support analysis of current-state
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
vivo screens for functional genomics and precision CRISPR technology, such as prime- and base editing, for structure-function analysis. Transferability of methods across experimental systems will be