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internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience with cell culture
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evaluating computational models. The opportunity to be part of an ambitious research programme connecting computational cognitive and behavioural modelling with consumer research and sustainability policy
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Applicants must have: A PhD in a relevant discipline (e.g., crystallography, chemistry, materials science, physics) Experience in chemical/materials crystallography (e.g. small unit-cell systems) Expert
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. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology, cell biology or related fields. You should be experienced in cellular
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adolescent mental health services. The postdoc will work closely with the project team and will contribute to the supervision of PhD students employed in the project. Reproductive epidemiology — the FEMME
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experiments; developing the computational evaluation infrastructure; and contributing interpretability-based detection methods to the joint oversight framework. In addition to the PIs and this postdoctoral
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the following competencies and experience: Essential experience and skills: A PhD in bioinformatics, computational biology, genomics, evolutionary biology, health sciences, or a closely related quantitative field
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related