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computational methods and signal processing. 5. Project: Revisiting the young faint Sun problem Space physics, climate science, geophysics 6. Project: Early atmospheric evolution of Venus, Earth, and Mars
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analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section
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that fuels all processes within the organism. Thus, metabolic efficiency likely has a significant influence on organism fitness. We will quantify metabolic rate as a proxy for the energetic cost of living and
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Monte Carlo methods, and familiarity with stochastic processes. Strong background in hydrodynamic, nonlinear and stochastic wave theory. Motivation to pursue interdisciplinary research that bridges
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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and/or geophysics with a strong background in computational methods and signal processing. 5. Project: Revisiting the young faint Sun problem Space physics, climate science, geophysics 6. Project
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data and risk analysis. Experience with statistical modelling, stochastic processes, or applied probability. Experience with scientific writing or publication. Language requirement: Good oral and written
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of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming. Relevant research experience (for instance in form of a Master’s thesis in
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being to provide the ATP that fuels all processes within the organism. Thus, metabolic efficiency likely has a significant influence on organism fitness. We will quantify metabolic rate as a proxy for the
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization