65 experience-design Postdoctoral positions at Technical University of Denmark in Denmark
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on the design and build of a platform for automated preparation of MOF films on quartz resonators for chemical sensing. This includes the design, build and programming of automated fluidics systems to deliver
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protocols for vascularized neuronal tissues Employ 2-photon microscopy to monitor changes in vasculatures in real time Experience in several of these areas is expected. You will also participate actively in
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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information. Experience in continuous variable quantum information processing and entanglement generation is preferred but not required. Experience in programming and data analysis. Ability to work
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Compliance (DICE --https://digitalcompliance.dk/), and by the Innovation Foundation through Grand Solutions Project XHAILe. Through integration in said projects and within DTU compute, you will have a vibrant
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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experimental and you will design, build and operate various high-vacuum equipment for making the samples as well as an array of characterization techniques for benchmarking samples. Responsibilities and
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symmetry in unexplored settings, the particulars are open and may encompass several directions. These directions may e.g., include inverse design of topologically nontrivial crystals or the pursuit
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Experience with satellite remote sensing, including both optical and radar techniques Experience in conducting field campaigns Expertise in data processing and inverse modeling techniques The ability
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing