72 big-data-and-machine-learning-phd Postdoctoral research jobs at Technical University of Denmark in Denmark
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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- Familiarity with method development, data processing software, and QA systems - Knowledge of ISO17025 accreditation processes - Good English communication skills (written and verbal) - Experience with sample
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participation in national and international conferences is integral to the job. Furthermore, participation in supervising BEng, BSc, and MSc students is expected. As a formal qualification, you must hold a PhD
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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members including other synthetic chemists, protein biochemists and the proteomics and metabolomics core facilities. You should have a PhD in protein biochemistry and biophysics, with experience in
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properties You will work in close collaboration with a group of senior scientists, technicians as well as postdocs and PhD students. Also, the work will involve collaboration with selected external partners
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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necessary. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation
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empathic person with a PhD degree in mechatronics engineering, MEMS, neurotechnologies, applied physics, nanotechnology, neural interfaces, biomedical engineering or similar. Advanced skills in electronics