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connection with the establishment of a new education in molecular biology and molecular medicine, we wish to combine subject-specific digital elements with core academic skills with the aim of developing
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a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution
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performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
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cancer or relapse to identify genetic alterations that may be targetable with novel drugs. A main component of this project will be to characterize the genomic and transcriptomic landscape of our patient
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analysis, we host 5 PCs and a server with commercial softwares such as Arivis, Imaris, Zen blue, CellSense Dimensions, ScanR and open-source software preinstalled. https://imaging.au.dk/services-and
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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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career plans. This may include the development and implementation of tasks that probe human cognition and behaviour; statistical analysis and computational modelling of behavioural and neural data; and the
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coordination and planning (e.g. stakeholder mapping) Supporting qualitative data collection (e.g. interviews, focus groups and document analysis) Participating in data analysis and interpretation Supporting
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analysis and troubleshooting. Previous experience in the use and data analysis of DVC System (Techniplast) Candidates should have the following personal skills: Excellent interpersonal and collaborative
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills