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experimental profile and experience with complex laboratory systems. Experience within one or more of the following areas will be considered an advantage: Microfluidic systems or organ-on-chip technologies Flow
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of natural and synthetic catalytic RNA complexes focusing on circular RNAs and their potential role at the origins of life. COL is funded by the Villum Foundation. Expected start date and duration of
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physically and functionally coupled across domains of life. The project will involve working with syntrophic deep-sea consortia, performing strictly anoxic physiological experiments, and developing electrode
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to quickly and accurately identify their subtype. At present, patient subtypes are decided using only clinical observations, and the process is highly suboptimal. For example, the available subtypes are often
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Experience with pathways and complex networks in cell biology Finally, applicants should: Be curious and ambitious Take pride in being a good colleague and scientist Who we are The laboratory is located
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framings influence acceptance and adoption of complex systems how land-use transitions are negotiated across agriculture, energy, environment, and local communities how communication and policy can be better
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We are seeking candidates for a post-doctoral position within the field of structure and electrocatalytic properties of nanocrystals. The position is for two years. In case further external funding
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to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants. Letter of reference If you want
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responsibility for driving scientific coherence and ensuring robust project execution across the consortium. The starting date is May 1st 2026. Job description The successful candidate will play a central
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data