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Field
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Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. The University of Miami offers competitive salaries
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
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Application Deadline 11 Sep 2025 - 21:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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Description The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a post-doctoral research associate to work on unravelling principles that drive
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approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through the various core facilities at Princeton University