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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) - Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules. Possible projects
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%) doctoral scholarship holder or postdoctoral researcher in the field of circular value chain modelling and optimisation. Position You will work actively on the preparation and defence of a PhD thesis/Postdoc
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Research Opportunity: PostdoctoralThe Energy Production Innovation Center (EPIC) was established through a partnership between Unicamp,FAPESP, and Equinor. Located in the buildings of the Center for Energy and Petroleum Studies (CEPETRO/UNICAMP),EPIC conducts research in oil production and...
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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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project:*The Role of m6A Methylation in Response to Genotoxic Stress and in CancerSupervisor: Guillaume VarèsIn response to ionizing radiation (IR) exposure, cells trigger a variety of complex and
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on Earth is a laboratory that has operated for billions of years, producing remarkably diverse, complex, and robust biological systems; however, significant challenges persist in understanding
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. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models
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with a consistent history of scientific publications and advanced theoretical and practical knowledge in geospatial modeling (PD#1) and remote sensing (PD#2), to create and analyze scenarios and models