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-supervising master and PhD students Applicants should demonstrate: Strong experience in techno-economic modelling and system optimization Solid understanding of CCUS Experience with energy system modelling and
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potential. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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/MS experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret