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sources. Your research will focus on combining imaging data (e.g., cardiac MRI, echocardiography), signals (e.g. electrocardiography, intracardiac signals), clinical measurements, molecular and genomic
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populations, and aims to incorporate novel methodological advances to improve our understanding of these processes and point towards potential interventions. EQUICARES is a four year EU Horizon project
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challenges in rural areas. It is specifically targeted towards hard-to-reach populations, and aims to incorporate novel methodological advances to improve our understanding of these processes and point towards
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PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write
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different spatial scale levels and the influence of the mode of transport. The starting point is to first investigate the (im)possibilities with existing datasets. The position involves a limited teaching
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of results. Profile You have a PhD degree in physics, engineering, photonics or a related discipline. You have a good basis in optics, laser spectroscopy and signal-processing techniques. You have experience
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, laser spectroscopy and signal-processing techniques. You have experience with lasers and/or spectroscopy and programming (Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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(IP-MS), and epigenetic (ChiP-seq) and transcriptional regulation (RNA-seq) techniques to understand the signalling pathways that drive egg cell parthenogenesis. Your team You will join the Plant
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dust combinations and its effects on methane emission. Biotic interactions with other microbes, phyto- and zooplankton will be a major focal point as is the link between methane and nitrogen cycling
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at the living lab site by point-sampling (e.g. salinity, organic matter, soil moisture, elevation, sedimentation-erosion dynamics, aeolian transport) and spatially-explicit techniques (UAV above water