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resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin) in
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. with research expertise as following: Oncology, Cell biology, or Immunology. Prior experience with genetically engineered mouse models and in vivo work. Strong molecular biology and biochemical
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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in in vivo studies evaluating delivery efficiency and safety in animal models. · Analyze experimental data, prepare manuscripts for publication, and present findings at conferences. · Collaborate with
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Climate Research (CICERO, Norway) will work together to will address challenges in separating SRM signals from other factors, improving climate models, and attributing climate responses of SRM
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are:; - Developing energy consumption forecasting tools based on real data.; - Applying these tools to a use case.; - Writing reports and articles for international conferences and journals using the new models and
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that preserves reliability and resilience; (3) quantify economic viability and equitable pricing models for energy and ancillary services provided by cVPPs; and (4) train interdisciplinary researchers to support
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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www.euraxess.pt , and on the Polytechnic Institute of Beja website www.ipbeja.pt . The document models identified in Article 6(1)(d) of Law 40/2004 of August 18 (Research Fellow Statute) can be consulted in