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performance and/or neural structure/function that govern the rate of cognitive development in childhood and/or old age. The post holder will have an interest in theory-based developmental cognitive (neuro
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count regime, joint gamma/neutrino studies of VHE data. The requited person will achieve these research studies within the H.E.S.S., CTAO or KM3NeT collaboration. - Gammapy developer (code, test
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strongly correlated quantum systems. Experience (supported by peer-reviewed publications) with models and analytical or numerical methods/theories such as quantum mechanics, solid state physics, lattice
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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characterization techniques. • Experience in simulation and molecular modeling. • Prior knowledge of density functional theory (DFT) and experience with DFT codes are highly desirable. Skills and abilities
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Research Agency, we are recruiting a Post-Doctoral Researcher in Raman Optical Activity F/H. This project, based on a close relationship between theory and experiment, aims to verify and understand
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
the replicator equation. The candidate(s) may also be required to develop computational and algorithmic platforms to link models to biological data. The project integrates dynamical systems, graph theory, linear
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, you will delve into both personal and movement archives, you will engage with existing theories of queer of colour cultural practices (e.g., Ferguson 2004; Muñoz 2009; Nyong’o 2018), and you will build
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, or a related area. Strong background in statistical theory for high-dimensional data. Computational skills in R and/or Python (ability to develop user-friendly codes). Strong written and oral
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applicant should have: A strong mathematical background, particularly in probability theory and stochastic processes. Familiarity with stochastic differential equations. Ideal Qualifications: Previous