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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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tools capable of addressing fundamental questions in biodiversity and conservation. Your profile We are looking for candidates with strong skills in computer vision and image‑based data analysis, combined
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, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
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research of high international quality, including publication Transcriptomics and molecular analysis of skeletal muscle Analysis of signaling pathways linking muscle excitability to gene regulation
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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collaboration and impact. Commitment to safe laboratory practices and structured documentation of synthesis and scale-up procedures. Your Profile Applicants must hold a PhD degree in Chemistry, Chemical
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the integration of spatial transcriptomic and metabolomic data. You will report to the Professor Ian Mills/Professor Per Qvist. Your competences You have academic qualifications at PhD level, for example within
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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/experimental design & analysis of complex research data. Honesty and integrity The ability to take individual responsibility for planning & undertaking own work, according to clinical and scientific deadlines
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in