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- University of Bergen
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and written English is required, see documentation requirements for further details. The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicants whose
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the PhD specialisation in Economics . Start date: August 2026 The PhD programme The PhD programme at NHH is a four-year fully-funded programme, which combines an intensive course component with research
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. The successful candidate will work on field-based experiments, data collection, and analysis, focusing on understanding the interaction between floral resources, pollinator activity, and apple yield outcomes
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systems (RAS). You will be part of the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting
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technology, based on aluminium anodes and carbon cathodes. The development will be conducted in a multidisciplinary framework, implying that materials research is aided by sustainability analysis, and focused
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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learning is required. Experience with spectral wave modeling is an advantage. Experience with ocean modeling is an advantage. Experience with metocean data analysis is an advantage. Experience with git
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this emerging field in close cooperation with our research group and the industry. The goals of the PhD project include: Analysis of the sources of CO2 with potential for delivery to the CCS facilities in
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with pixel detectors construction, and electrical test-systems, and to some extent with test beams, data analysis and development of mechanical systems. She or he will be required to interact in
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and some familiarity with the preparation of tissue sections Experience working with tissue sections or organoid samples for bio-imaging applications Familiarity with image analysis tools such as MATLAB