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: Completed master studies in the field of environmental sciences, forestry, landscape ecology, remote sensing or related fields Interested in remote sensing, quantitative methods and programming Prior
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other leading corporates. Transportation data are inherently spatial, temporal, multi-modal, and high-dimensional. Our work addresses the challenges of Perception, Decision, and Explanation (PDE) in
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motivation in conducting evolutionary and chemical ecological research at different levels. •MSc/diploma in a relevant field (e.g., evolutionary biology, chemical ecology, sensory biology). •Strong experience
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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interdisciplinary team bridging molecu-lar microbiology, ecology and infection research with the focus to understand mechanisms of host-microbe and microbe-microbe interaction in the gut. Our lab has a broad
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analyzing them by conventional and confocal microscopy. Assessment of cellular lignin and suberin deposition patterns. Assessment of transcriptomic responses to water and nutrient limitation. Element spatial
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
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of urban soundscapes relate to the structural complexity of urban green spaces, sound-based biodiversity in urban green spaces and human health. We combine urban ecology, environmental psychology, acoustics