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) in inhibitor complexes. While knowledge of the protonation states is a prerequisite for mechanistic understanding, computational chemistry methods are crucial for modelling the reaction trajectory. We
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involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope
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in model organisms, and the curative gene correction of immunodeficiency patients carrying mutations in the BTK gene. The candidate is expected to participate in experimental design, logistics, sample
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network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce using UPSC transformation and somatic embryogenesis pipelines; evaluating drought
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope
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imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development of functional assays in insect and bacterial systems
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of interest (but not limited to): Intersection of cybersecurity and AI, i.e., attacks and defenses leveraging AI solutions, or attacks and defenses within AI solutions (e.g., backdooring, model poisoning
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cluster / micellar phases and arrested phase separation. We plan for theory-oriented work, combining analytical modeling based on liquid theory and coarse-grained simulations to explain experimental
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additional specific requirements that candidates have to fulfill, be sure to check what these are before you apply. Additional requirements: Very good oral and written proficiency in English. Practical