Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
previously conducted research or have demonstrated knowledge within some of the following areas: classical and/or quantum data communication, error correction, communication algorithms, optimization algorithms
-
Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
-
part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
-
platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis
-
, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies
-
characterization via omics data analysis, and other computational tasks such as sequence optimization, data extraction, and DNAseq analysis. We also consider projects in data infrastructure, LLM development with
-
cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc
-
Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
, including the application of multi-objective optimization techniques, particularly within the context of biorefineries and biomanufacturing. The successful applicant will also bring significant experience in
-
, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
-
machine learning, computational modelling, and advanced data analytics can accelerate not only the discovery, characterization, and optimization of materials but also project assessment and communication