78 component-labeling-agorithm-cuda PhD positions at Technical University of Denmark in Denmark
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when high-quality DNA or close reference genomes are unavailable. As part of a Novo Nordisk Foundation-funded project, you will design and implement computational pipelines, conduct comparative
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partners from Denmark and the Netherlands. Thus, these 2 PhD projects will be an integral part of a broader research team, consisting of collaborating partners with a common passion for autonomous
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an essential component of the project and will contribute to the interdisciplinary nature of your PhD. We expect candidates to have demonstrated experience or strong interest in the following areas
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. Across these applications areas, a central and critical challenge in bioprinting is the design of appropriate biomaterials to serve as synthetic matrices and scaffold for the tissues. You will be part of a
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automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
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biocompatibility in collaboration with other students and project partners. We are seeking a highly motivated candidate who can work effectively both independently and as part of a team, and who communicates clearly
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
the furthermore, core works are envisioned in (c) initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM, IoT/sensor data, TPTC, LPS, LBS
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used. This part of the three-student project is focusing on setting up the closed loop combustion control and adapting this control using self-learning algorithms. Qualifications You should have a basic
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team