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an excellent publication (or papers in press or equivalent) track record in high quality peer reviewed journals. Evidence will be sought of a deep understanding of the applicant's previous fields of research and
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internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team. While interest in
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internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team. While interest in
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, motivation to learn new skills as well as excellent written and oral skills is essential.Example publications from the Lab:•Detection of host cell microprotein impurities in antibody drug products. 2024 Nature
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
sustainability assessment and evaluation, coupled with high level expertise in conducting professional Life Cycle Assessments adhering to ISO standards. Furthermore, the right candidate has a deep understanding of
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deep understanding of techno-economic evaluation and proven capabilities in the evaluation and modeling of resource recovery and valorization pathways. The role also requires experience in process and