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for our environment? Will the streets ever by quiet again? This PhD will give you the opportunity to build models that predict this! Job description In 2023, global drone shipments reached 1 million
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technological developments in your professional field and, together with colleagues and partners, translate these into solutions that meet market needs. Your team You will be part of the Food, Gut & Health Models
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
of digested humanure on soil. For the 100 most commonly prescribed pharmaceuticals in the Netherlands, their excretion profiles and their physico-chemical properties will be used to predict their persistance in
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breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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. This in turn, will place a biologically important process into global carbon cycle models and thereby improve predictions of the consequences of ongoing CO2 emissions. YOUR ROLE Within this project, you
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disruption of the electrical impulses, and can cause a lethal stop of the heart beat. Prediction whether a newly found gene variation is dangerous or not is difficult and requires a lot of experimental work
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J. Toenders Neurobiology, Erasmus University Rotterdam Yara Toenders studies the mental health of adolescents. How is their mood affected by sleep (deprivation), social media, music and role models
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teams to explore the long-term effects of repetitive traumatic brain injury (rTBI) in both humans and mouse models. Join us! This PhD position offers you the opportunity to work at the crossroads
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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will