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, or predictive modeling—based on real experimental data. You will work closely with engineers, technicians, and the postdoc to build and refine data pipelines and interfaces. As part of your research training, you
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PostDoc in the project). Collaborating with fellow researchers across the UPLIFT network, including those focused on digital twins at DTU Chemical Engineering- As a PhD candidate, your work will adapt
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developing novel quantum photonic devices. Such quantum devices are central for quantum information networks, quantum computation, and quantum cryptography systems, and lie at the basis of a forthcoming
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of an ambitious and team-based research environment with around 50 international staff members, postdocs, and PhD students. Responsibilities and qualifications The successful candidates will contribute
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Job Description We are looking for a motivated and creative candidate to fill a position as a PhD student as part of the MSCA Doctoral Network “SPACER” (Shaping Porous Electrode Architecture
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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for species previously limited by technical or financial constraints. This technically ambitious project sits at the forefront of evolutionary and biodiversity genomics, with the potential for field-defining
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student, you will focus on mining large Actinomycete genomic, transcriptomic and metabolomic datasets to investigate their transcriptional regulatory network. You will develop and apply the latest
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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characterization of glycoside hydrolases, and a postdoc working on computational modelling of the same enzymes. The PhD focuses on ligand-observed NMR analyses and other relevant methods to provide insight