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Field
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distribution of mid-ocean ridge earthquakes, quantify the associated energy release, identify clusters and mechanisms of interests and perform relative relocations on targeted event swarms. The seismogenic
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maligancies. The goal of these studies is to identify epigenetically regulated programs that become deregulated and contribute to the development of these diseases. Applicants should hold a PhD and/or MD degree
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at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 13 days ago
group offers a lively collaborative environment where researchers at difference career stages (Postdoc, PhD, Master students) work closely together. Our central interest lies in studying brain processes
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group's efforts to be involved in the ATLAS experiment as part of the UAE-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics
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Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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(R1) Positions PhD Positions Country Portugal Application Deadline 15 Oct 2025 - 23:00 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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of the Agriculture cluster; Any other relevant duties deemed useful and necessary. Qualifications PhD and/or Post-graduate degree in any of the following subjects or a closely related field: Agricultural Sciences
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial