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modelling (inc. mixed effects regression models and/or Bayesian statistics). You have experience in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, participant
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models (e.g. mixed-effects regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning
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formats, and the economic and operational implications of implementing VR-based police training at scale. Achieving our target, requires a multidisciplinary setup, enabled by the collaboration
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
post-translational modification of proteins, with a confirmed role in various physiological processes such as DNA repair and antiviral defense. Protein targets are enzymatically modified with ADP-ribose
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: Exploration of newly synthesised (small) molecules in modulating relevant disease targets. Computer-aided design of libraries of new molecules and virtual screening. Design and synthesis of new molecular tools
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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agreed annual targets; overseeing the project schedule, proactively addressing technical, financial, and programmatic risks and issues; establishing and maintaining a project risk register, implementing
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mixtures such as MOSH/MOAH, or with non-target and/or suspect screening for contaminant detection; Preferably experience with project-based work; Good communication skills and proficiency in both Dutch and
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an ISO 17025 accredited laboratory is an advantage; Preferably experience with analyzing complex mixtures such as MOSH/MOAH, or with non-target and/or suspect screening for contaminant detection
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal