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Field
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for academic as well as industrial knowledge within this field and competencies across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 16 hours ago
, or similar platforms for thermal and fluid dynamics simulations. Strong programming skills in MATLAB, Python, R, or similar. Machine learning or data-driven modeling experience applied to environmental control
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analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also have: Experience with AI and machine
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datasets. - Demonstrated ability to work effectively with a diverse team from multiple disciplines (e.g., systems engineering, decision theory, organizational theory, economic production theory, human
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of observation, both in terms of acquisition speed and imaging depth, with applications ranging from biology to the study of nanomaterials. These developments sit at the crossroads of multiple disciplines
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Postdoc position to support international research and capacity-building projects employing elect...
. Participation in fieldwork campaigns in Ethiopia multiple times per year (typically 2–3 weeks per trip), assisting with survey planning, deployment, and data collection. Contribution to the development
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biodiversity, as well as analyses of past and current land use configurations for multiple facets of biodiversity, i.e. species, functional, phylogenetic, and genetic diversity. The tasks will encompass
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Children's Research Hospital in Memphis, TN. The goal of our research is to understand how neural circuits control movement. We approach this from multiple perspectives, using diverse technologies to analyze
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multiple study sites and assist the PI in supervising undergraduate and doctoral researchers. Participate in weekly research team meetings and coordinate project activities. Support program implementation in
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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses