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temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and genetic analysis, aiming to elucidate the adaptive potential of species
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combination of traditional molecular biology approaches and high-throughput technologies such as RNA-sequencing and NanoString CosMx technology. To ensure that the group is at the forefront of translational
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need to combine the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not
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diploma/certificates. We only accept files in pdf-format no more than 10 MB per file. In case you have more than one file per field you need to combine the pdf-files into a single file, as each field
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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nature-based solutions that enhance local recharge and support the replenishment of shallow groundwater systems in dryland environments. The project combines shallow FEM with deeper ground-based TEM
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genomics tools in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders
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by employing state-of-the-art neurobiology in combination with genomics and computational biology approaches. The research in Tiwari lab is supported by a cutting-edge research environment as
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approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and