194 bayesian-object-detection positions at Technical University of Denmark in Denmark
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transcriptomic data, you will identify protein signatures linked to tumour aggressiveness and metastasis and define multiomic biomarkers for improved cancer detection and patient stratification.\ You will join the
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atmospheric and sustainability topics. Provide public sector consultancy to inform decision making with regards to GHG management for sustainable development. Find effective solutions for sustainable
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more about CatTheory at www.physics.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your
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, DTU Sustain). You can read more about DTU Sustain at www.sustain.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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structures and functionalities. The candidate will be in close collaboration with industry to enhance the sensitivity and multiplexing capability of biosensors for detection of various biomarkers for early
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from Anders Bjorholm Dahl (abda@dtu.dk ) and Innokenty Kantor (inkan@fysik.dtu.dk ). You can find more information about DanMAX at https://maxiv.lu.se/danmax , about 3D imaging center at https
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. The candidate will collaborate closely with team members to develop novel quantum computing algorithms that leverage hybrid detection methods and explore the potential of 3D cluster states for enabling fault
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read more about DTU Chemistry at https://www.kemi.dtu.dk/english/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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University of Denmark is a leading university in Northen Europe, and our facility is among the largest and most advanced fair access facilities in Europe. Please notice this is not a research position, it is a
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cycling. The goal is to discover, produce, and characterize enzymes involved in conversion of persistent dissolved organic matter in the ocean, in order to understand the features of the enzymes as