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Researcher (R2) Positions Postdoc Positions Application Deadline 10 Aug 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and
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submit their application files and supporting documentation, in a digital form, in the IT portal, https://www.it.pt/Positions/PostDoc/834?page=1 This competition is open from July 17, 2026, to August 14
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. At NCBJ there is the internal procedure for the report of breaches of law. Anyone interested in its content can access it at any time on the website: https://www.ncbj.gov.pl/sites/default/files/prasa
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. Reference contact information will be requested later in the recruitment process through Workday. Union Representation: This position is represented exclusively by Postdocs United/United Automobile, Aerospace
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phenology, run established research protocols, and modify and develop new procedures to achieve research goals. Moreover, the incumbent will collect, process, and analyze field and laboratory data and help
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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the laboratory of Dionéia Araldi, MS.c., Ph.D., in the Department of Neuroscience and Pharmacology at the University of Iowa. The Araldi lab investigates signaling pathways that drive the transition
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=VUdBLjQ4NzUzLjk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications mechanics, signal processing, field work, laboratory experiments, theoretical modelling, rivers