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are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , the TelecomAILab , the CSATLab , our SW Simulators , and our Facilities . For further information, you may
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As part of the Nordic EMBL Partnership for Molecular Medicine, the Institute for Molecular Medicine Finland (FIMM) is recruiting 4–5 doctoral researchers in the FIMM-EMBL International PhD Programme
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
ultrasensitive and quantitative methods for investigating gas-surface interactions on nanoparticles in nanoliter reaction volumes. Relating the three-dimensional surface structure, dynamics and catalytic functions
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The Section on Molecular Neurophysiology and Biophysics at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), in
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are looking for a highly motivated and dynamic PhD student for a position in the Translational Neuroscience team headed by Prof. Rejko KRÜGER. The Translational Neuroscience team's focus lies in
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be enrolled to the Doctoral School in Sciences and Engineering (DSSE). The supervision will also be supported by I by the postdoc who will be employed in the project at UL. The duration of the project
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appointment in the Division of Reproductive Sciences. The research activities of this division are diverse and span a wide range of women's reproductive health issues and include: Determining the molecular
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properties in ordered and disordered nanoparticle assemblies, addressing both their equilibrium and dynamic behavior, with a focus on their representation in the SANS cross section and correlation function
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++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under