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chemistry, e.g., GCMS, HPLC and ECMS. Designing immobilization strategies. Collaborating on mechanistic and computational studies. Collaborating within the CAPeX pioneer center The successful candidate will
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about sustainability and
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Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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expected to take a leading role in the research program, supported by a Villum Investigator Grant, in which femtosecond and picosecond laser pulses are used to study molecules and molecular complexes
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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immunity, particularly against airborne viruses and bacteria. NIVI Research Center is developing an integrated basic and translational research program that aims to fill many of these remaining knowledge
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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab