15 bayesian-inference-tracking Postdoctoral positions at Technical University of Denmark
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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across the value chain. Using Bayesian Optimization / Modern Design of Experiment, we build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as
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background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
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proven track record of research publications. Proven ability to conduct independent research Effective communication and mentoring skills. A commitment to diversity and inclusion in the workplace
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for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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A track record of successful project completion and scientific publication Experience with dermatological research or skin imaging would be an advantage but is not required. We offer DTU is a leading
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understanding as well as the application potential of new insight A strong background and interest in (electro-)catalysis and applications in sustainable energy conversion Preferably a track record of academic
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academic career in a group with a strong publication track record Work in a supportive, international environment just outside Copenhagen If you want to apply your skills in animal models and translational