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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 21 days ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity
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Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . To find out more about the People and Culture in the School of Mathematical Sciences please visit our website
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—to macroscopic, population-level observables in rapidly evolving pathogens such as SARS-CoV-2 and influenza. Concretely, you will: formulate and analyze stochastic models of evolving populations using methods from
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related field, with experience in one or more of the following areas: quantitative modeling and statistical-mechanical theory physical theories of allostery and mathematical modeling biophysics of receptor
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influence the risk that isolated outbreaks become global pandemics, mostly via mathematical and computational modeling. Our Center promotes groundbreaking team science, inclusive excellence, and
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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in math, with a focus on college-level algebra. Assist students with problem-solving, homework, test preparation, and understanding math concepts. Support academic integrity by modeling responsible
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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments and