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Field
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sparse-regression based techniques to derive interpretable and computationally efficient differential equation models from computationally intensive multi-cellular agent based models (ABMs) of Epstein–Barr
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Infrastructure? No Offer Description Preparing and performing MRI measurements and data analysis to assess the properties of new theranostic agents in vitro, as well as evaluating their therapeutic effects in vivo
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of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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oxides, specifically exploring the substitution of carbon with hydrogen as a reducing agent in iron and steelmaking. Both experimental and computational investigations of hydrogen reduction phenomena in
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of delivering drugs or therapeutic agents to intracellular “undruggable” antigens, thus overcoming conventional antibody-based therapy limitations. Specific Objectives Identify and validate intracellular antigens
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standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's
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from geomatics, spatial analysis, multi-agent modeling and simulation, and laboratory work (soil and surface formation studies; host of the Solsup platform of the EMerode service unit). General