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and list of three professional references to Interfolio at https://apply.interfolio.com/165494 or drop off to the Human Resource's office in the Ludlow basement. Questions: Please contact careers
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | about 2 months ago
Chromatin Structural Biology laboratory to investigate how dynamic protein–protein interactions control transcription elongation in chromatin. Transcription by RNA polymerase II relies on a dense network of
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companies and asset owners. International collaboration and industrial workshops are embedded in the project, providing you with excellent exposure and networking opportunities. Job requirements You are a
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informatics, virtual reality, complexity and network science, and computational social science. We expect the successful candidate to hold at least an MS in Informatics or a closely related field and to be able
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genetically linked pairs or complex interconnected networks. Importantly, both sensor and helper partners are required for resistance upon pathogen infection. In the ERC-funded project “CooPAIRation”, we aim
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utilizing and programming Siemens, Trane, and Delta controllers. Ability to understand and configure network systems and resolve communication issues. Possess high level of diverse technical skills with
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and interpersonal skills. Ability to work as an effective member of an interdisciplinary team. Ability to function in a busy work setting with patients with complex needs. Demonstrates proficiency in
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works independently under the direction of the Manager of Quality Reporting & Analytics to design and develop reporting solutions, provide complex analysis of clinical data and share accurate, goal
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MS for the characterisation of complex biopharmaceuticals including viral vectors for gene therapy delivery. You will evaluate and apply cutting-edge data analysis strategies to improve data usage and
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, defect localization, temporal reasoning, and predictive maintenance in complex inspection environments. A second contribution involves predictive maintenance algorithms that integrate static data sources