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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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20 Mar 2026 Job Information Organisation/Company Warsaw University of Technology Research Field Computer science » 3 D modelling Computer science » Autonomic computing Computer science » Computer
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working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your
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primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit. Special Instructions to Applicants: To apply, please visit https://jobs.ufl.edu and reference requisition
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background in nonlinear optics, ultrafast photonics, and integrated photonics, alongside the ability to develop predictive models for optical materials and photonic devices. The successful candidate will work
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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending on the interest
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.04.2025 | Working hours: 40,00
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of Experimental Medicine and Therapy Research, in the laboratory of Dr. Melanie Werner-Klein (https://www.experimentelle-medizin.de/erforschung-der-metastasierung ), we are inviting applications for a highly
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple