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to engage with relevant WMO PCAPS task teams and working groups, gaining experience in international scientific collaboration and contributing to community- and user-driven advances in Arctic prediction
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. The postdoctoral fellow will join a research group with potential access to large, administrative data sets therefore prior experience with big data and administrative data will be advantageous. via Unsplash
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(or livestock or human). In-depth understanding of gene-regulation and epigenetic/epitranscriptomic reprogramming. Experience working with or interpreting experimental data from embryos, organoids, or epithelial
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at international conferences via Unsplash Qualifications PhD in immunology Experience with relevant techniques; flow cytometry including cell sorting, cell culturing, PCR, molecular cloning and ELISA Experience with
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motivated individual with an excellent track record and strong experience in using hydrogen/deuterium exchange mass spectrometry (HDX‑MS) for the characterization of biological complexes. The candidate should
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research experience with the gendering of fisheries is an advantage but is not an absolute requirement. Ethnographic research experience from the country/region where ethnographic research is proposed
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background in experimental molecular and cellular biology Demonstrated experience with genomic technologies such as RNA-seq, ChIP-seq, CUT&RUN, or related chromatin and transcriptomic approaches Experience
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Norwegian doctoral degree. Research experience and expertise in food processing. The candidate must be able to teach unit operations within food processing at bachelor’s and master’s level. Good presentation
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guiding the earliest stages of mammalian embryo development. The project will combine experimental data obtained through advanced live imaging and spatially resolved molecular profiling with theoretical and
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on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation. Desired Qualifications Relevant research experience within unsupervised