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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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evolutionary genetics, genomics, population genetics, bioinformatics. Extensive experience in bioinformatic analyses, coding and development of pipelines, handling of large genomic data sets, experience with
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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) to study atomic structures of optically excited small unit cell crystals. The project involves measurements, data reduction and structure refinement of large serial femtosecond X-ray (SFX) crystallography
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candidate is expected to work closely with Professor Rubina Raja, on several tasks, including: supporting large research/publication projects (including copyediting and indexing) carrying out data collection
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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advanced methods for applying large-scale Danish data. You will work across interdisciplinary projects that investigate how genetic, familial, socioeconomic, and environmental factors shape mental health
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Do you enjoy finding solutions to integrate and analyse large ecological data sets with advanced methodologies? Are you creative and able to couple various data flows and provide end user targeted
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of collaborators in ecology, envi-ronmental genomics, pollinator biology and biodiversity monitoring. Key Responsibilities The post doc will: Design and coordinate large-scale field studies across multiple seasons