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    • JOB
    • Germany

    PhD student (f/m/d) in the field of organic chemistry and polymer chemistry

    About usThe DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University. International young and experienced scientists from various disciplines develop interactive materials based...

    • JOB
    • France
    The Human Resources Strategy for Researchers

    PhD in theoretical chemistry (M/F) – Modelling the impact of chirality on photoinduced electron transfer

    The proposed PhD in theoretical chemistry deals with the use of excited-state methods (TD-DFT, ADC(2), etc.) to explore the relationships between the molecular structures, photoinduced electron transfer (PeT), and chirality in strong connexion with the experimental groups in Bordeaux. Three main...

    • JOB
    • Sweden

    Postdoc in structural transitions in protein self-assembly

    Job descriptionWe are looking for a postdoctoral fellow with a strong interest in protein structure and self-assembly processes. Nature has chosen proteins as building blocks for many materials with remarkable functional and mechanical properties. Spider silk, with toughness higher than both steel...

    • JOB
    • France
    The Human Resources Strategy for Researchers

    Post-doctoral researcher in dissolution Dynamic Nuclear Polarization

    A post-doc position in hyperpolarized NMR is available in the MIMM team of the CEISAM laboratory in Nantes, France. The postdoctoral researcher will join a project led by Patrick Giraudeau, on the development of dissolution dynamic polarization for complex mixture analysis and metabolomics. The...

    • JOB
    • Czech Republic

    PhD fellow in "Synthesis of novel zeolites and their structure determination by advanced electron diffraction"

    Zeolites are porous elementosilicates with vast applications in the fields of catalysis, sorption, and ion-exchange. Their advantage lies in properties, such as high adsorption capacity, defined microporosity (resulting in molecular sieving effect), adjustable chemical composition, and possibility...

    • JOB
    • Czech Republic

    PhD fellow in "Stabilization of metal clusters on the zeolite supports and their assessment by in-situ electron microscopy methods"

    Project summary:Metal nanoparticles immobilized at zeolite supports are important class of heterogenous catalysts for hydrogenation and dehydrogenation, reforming, and water-gas shift reactions. Zeolites, porous elementosilicates, are used to encapsulate metal nanoparticles to improve their...

    • JOB
    • Czech Republic

    The role of acid-base equilibria in polyelectrolyte complexation and biomolecular condensation

    Electrostatic interactions are one of the main driving forces of both, complexation of synthetic polyelectrolytes, and formation of biomolecular condensates. The net charge of these molecules is determined by the pH, therefore it is one of the key factors setting the conditions for condensation...

    • JOB
    • Czech Republic

    ML-assisted design and characterization of oxide-supported metal nano-catalysts

    Use of ML-accelerated (and quantum chemistry-supported) simulations for bottom-up design of metal/metal-oxide cluster-based supported nanocatalysts for sustainable chemistry applications.The grand challenge in the field of supported nanocatalysts is to design materials with the maximum catalytic...

    • JOB
    • Czech Republic

    Coarse-grained models for quantitative prediction of acid-base properties of peptides and proteins

    The main focus of this thesis is to develop coarse-grained force fields which enable quantitative prediction of the net charge of peptides and proteins at various pH. It builds on the previous work of our research group, where we have shown that very simple models can quantitatively predict net...

    • JOB
    • Czech Republic

    Operando Modelling of porous catalytic nanomaterials via machine learning

    Application of cutting edge machine-learning based methods in support of quantum chemistry calculations for enhanced sampling and analysis of catalytic porous materials (zeolites, MOFs, silicate derivatives) - towards bottom-up design of functional porous nanomaterials. Training, optimization and...