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candidate will lead tasks related to experimental testing and numerical modelling to verify structural performance under representative environmental conditions and establish a design envelope for
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strategic research agenda on sector coupling, net-zero energy systems design & analysis, and integrated Power-to-X systems. The postdoc will lead advanced modelling and techno-economic analyses of large-scale
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CCUS integration. SDU LCE is primarily externally funded and actively engaged in numerous strategic research projects supported by the EU, national innovation programs, private companies, and NGOs
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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advancements in spatial bioinformatics. Assist with the epigenetic analysis performed within CIMP and MBH lab. What we offer Opportunity to become a leading-edge expert in spatial bioinformatic, being
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. Proficiency with CST Studio Suite, HFSS, and related full-wave EM simulation workflows. Competence in MATLAB or Python for numerical modelling, data analysis, and optimisation. Ability to conduct experimental
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of the following topics will be appreciated, but mostly we look for smart people who enjoy learning new things: Approximate Bayesian inference Differential geometry Numerical computations (ideally with experience in
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) experience Medical imaging analysis Surgical path and motion planning Artificial intelligence Furthermore, for both positions, previous publications in major robotics journals or conferences are a plus, and
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no solution. The project has two aims: Rigorous feasibility analysis: Theoretically and via simulations, characterize the conditions under which RCAL is infeasible or otherwise faces limitations. New robust