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, including the Far-Infrared Probe concept, PRIMA. We particularly encourage applicants with interests in processing and analysis of large data sets, development of scientific software, data pipelines, applied
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. Research Proposal o Research topic should relate to a specific opportunity at ARL o The objective of the research topic should be clear and have a defined outcome o Explain the direction you plan to pursue o
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. The program recruits candidates from varied educational and professional backgrounds to spend up to two years engaging with an eligible host institution under the guidance of a mentor. Host institutions define
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well as communicate with research networks within the scientific community. Learning Objectives: As part of this learning experience, you may: Learn how grapevine populations and germplasm are evaluated to identify
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aided design (CAD), computer aided manufacturing (CAM), manipulation of digital manufacturing software tools, 3D object slicers, support structure optimizers, computer programmings, and scripting
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or topographic mapping are also topics of interest, including to small bodies and icy satellites. The combination of various tracking measurements is especially relevant, as orbit determination software
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cutting-edge scientific instrumentation. While maximizing the impact of your own research, you will also expand your professional network and develop new opportunities for your future. The expertise
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-facing custom data solutions such as web-based applications, digital research tools, and software that support the ARS core mission. Services by PDI provide support to our scientists who are highly
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Pharmacokinetics, data mining, data analysis, Pharmacomatrics, Pharmacology, and has software skills such as NONMEM, R or Python, SAS, etc. Point of Contact Ashley Eligibility Requirements Citizenship: LPR or U.S
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, network/agent-based simulation) Experience developing and implementing ordinary differential equation (ODE) models for epidemiological systems Experience fitting epidemic models to data using Bayesian