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Field
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work culture. The role requires excellent communication skills both at a local level with colleagues and externally with clients and academic partners. knowledge of fluid dynamics, wave structure
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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strong professional relationships, both nationally and internationally, to foster interdisciplinary collaboration and drive research forward. Adaptability and resilience: Ability to thrive in a dynamic
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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molecular dynamics, enhanced sampling, and kinetic modeling—the team investigates how neurotransmitters like norepinephrine and hormones such as estrogen interact with β-adrenergic and estrogen-related GPCRs
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- MERFISH) to map single-cell gene expression dynamics spatially and temporally, elucidating disease mechanisms at unprecedented resolution. Investigate the impact of mechanical forces and UV radiation
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis
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dynamics. Additional advantageous skills involve working with patient tissue handling and culturing, surgical implantation of brain cancer, cryo-electron microscopy, transcriptome, proteome, single cell