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Field
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python (scientific
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is to develop mathematically sound tools capable of connecting vehicle characteristics to a national CO2 emission impact and to quantify these using statistical relations. Who you are You are a
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postdoctoral position in Random Matrix Theory and related fields, funded by the Israel Science Foundation. Applicants should hold a PhD in Theoretical or Mathematical Physics, or a closely related area of
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, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11
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experimental colleagues. A desire to develop the direction of your project is very welcome! Job requirements Masters in Physics, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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subject, such as aerospace engineering, aeronatucial engineering, atmospheric sciences, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g