18 data-analytics Postdoctoral positions at Technical University of Denmark in Denmark
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english
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and colorimetry assays Analytical chemestry Microscopy Previous experience with Food science and nutritional science We expect that you are an efficient team worker, have good communication skills, and
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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, you must hold a PhD degree in analytical chemistry, chemical engineering, biomedical engineering or other related disciplines. Experience in SERS and SERS data analysis. Experience in sample preparation
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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface
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(e.g. BMC), sustainability KPIs, and decision support systems Strategic mindset and strong analytical capabilities Experience in stakeholder engagement and translating technical knowledge into practical
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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral