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three years prior to the application deadline It is preferred if you have experience in integrated resource assessment (e.g., CLEWs), optimization and sensitivity analysis. Good knowledge of python and
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description We are looking for a postdoctoral fellow with a strong interest in protein structure and self-assembly processes. Nature has chosen proteins as building blocks for many materials with remarkable
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that process cultural data and can create new speculative and featuring approaches. We welcome applicants with a doctoral degree in ethnology, cultural heritage studies, archive studies, museology, gender
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post-AM processing of non-weldable Ni-base superalloys and Ti-alloys using recent advances in laser processing and in-situ process control. Position is connected to the competence centre Centre for
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the environment, and how they control navigation, hunting, and communication behaviours. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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Experience of research in a laboratory is a plus Experience in systems programming and computer security is advantageous Scientific skills. Educational ability. Awareness of diversity and equal treatment
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-national perspective. This will serve as a basis for recommendation on design specification for LCO2 carrying ships included in this fleet as well as their operation. Who we are looking for The following
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of proteins, or collaboration in these activities Protein engineering to improve activity, selectivity, and stability Development of biocatalytic processes for plastic depolymerization and valorization The work
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highly motivated. You must be able to work independently as well as in team efforts to advance research. A very good knowledge of English is essential. Good Swedish skills are a merit. Personal qualities