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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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methane concentrations Bioelectrochemical systems Sensitive oxygen measurement methods, including electrochemical microsensors and optodes Transcriptomic sequencing and bioinformatic analysis
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models
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bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement
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for extinction risk prediction Qualifications We are looking for a candidate who has: As a formal qualification, you must hold a PhD degree (or equivalent) in bioinformatics, computational biology, evolutionary