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running and post-processing CFD solvers is convenient, as well as a knowledge of turbomachinery problems. Analysis and development of numerical methods Languages ENGLISH Level Excellent Research Field
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language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be considered an advantage. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7077-NADTIR-004
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https://uef.varbi.com/en/what:job/jobID:964439/type:job/where:39/apply:1 Requirements Research Field Mathematics Education Level PhD or equivalent Additional Information Work Location(s) Number of
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will employ up to 8 PhD Research Fellows, whose research will focus on the interaction between algebra, differential geometry, analysis and computational mathematics, as well as their applications to
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hydrogeology, numerical groundwater flow modeling and experience developing MODFLOW models for groundwater systems Two years of experience beyond PhD, or MS with 4 years’ experience Technical proficiency with
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seismic datasets, including signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis
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, such as through the SSL ASSURE summer REU program Department : https://www.ssl.berkeley.edu/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent international
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, analysis, or deployment, is highly desirable. Proficiency in Python, C++, or Julia, with strong signal processing, numerical modeling, and data analysis skills; experience with Git-based workflows and AI/ML
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) Positions PhD Positions Application Deadline 2 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29,55 Offer Starting Date 1 Nov 2026 Is
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Okinawa Institute of Science and Technology Graduate University | Nogales Okinawa, Chihuahua | Mexico | about 2 months ago
those interested in linking physical processes with biological responses and integrating observations and models. Experience with field observations, data analysis, numerical modeling, or ecological