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in the AMBER co-fund project please visit https://www.euraxess.se/jobs/341970 The interviews will start in November 2025. For more information about AMBER, application and evaluation process etc please
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular organelles or unused proteins. Autophagy plays an important role in development and ageing and has been associated
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to be revalued. The project studies the processes through which value transformations of bio-waste are made. Examples of wastes that might be of interest are wastewater, stormwater or forest waste. The
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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), and the applicant is expected to participate in its activities. The research group includes the principal investigator (Robin Kahn), one PhD student, three postdoctoral researchers, one biomedical
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of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in ecosystem ecology, biogeochemistry, physical geography, or a related field. Past experience of synoptic surveys