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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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competences, ranging from biogeochemistry and microbiology to movement-, evolutionary-, and community ecology. The postdoc that we are looking for shall collaborate with group members and contribute
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internationally. The assistant professor is moreover expected to contribute to the supervision of students, doctoral candidates, and postdocs, to contribute to the administration and leadership of the division, and
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as scientific visualization, data and information visualization, volume visualization, flow visualization, medical visualization, large-scale image and volume processing, multi-resolution and out
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amount of teaching and supervision at basic, advanced and/or postgraduate levels may be included in the duties. In addition to the mentor’s group, the postdoc will collaborate with national and
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rotation forestry towards continuous cover forestry methods is debated in Scandinavia as a way forward to increase biodiversity and climate resilience. This postdoc project will be based on empirical field
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics