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pollution and its impacts. In the OSEAMS project, the postdoctoral researcher will mainly work with zero-dimensional box models, using historical atmospheric observation data to analyze the drivers of ozone
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this collaborative project, we will develop a comprehensive strategy combining (1) vasculature-on-chip models, (2) in-depth nanobubble characterization, and (3) tailored imaging solutions to advance cancer diagnostics
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following position at its location in Frankfurt am Main, ideally starting as soon as possible: Postdoc in vegetation modelling (m/f/d) (Full time / part time options available) Location: Frankfurt am Main
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5 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
Job related to staff position within a Research Infrastructure? No Offer Description These positions are open for researchers in the field of Section 05 (Theoretical Physics: methods, models and
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contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models
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modeling We invite applications for postdoctoral fellow positions in the Ponce Lab at Harvard Medical School. Our group investigates how populations of neurons in the primate visual cortex represent and
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research positions in the field of atmospheric aerosol modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 1 month ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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software (Gate v10, https://github.com/OpenGATE ). This will involve accurately modeling the patient from CT and PET images, the clinician, as well as the elements present in the operating room. Once the
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing