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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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, pathogens and drivers of nutrient cycles, but it has been difficult to study them in their natural habitats. We want to use and develop a novel way to investigate soil microbial communities and species over
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electromagnetic processing. The work involves close cooperation across several departments. You will have access to a well-equipped experimental environment and be part of a collaborative team dedicated to creating
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: Postdoctoral Position Location: Stockholm, Stockholm 10691, Sweden [map ] Subject Area: Physics / Condensed Matter Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/02/04, listed until 2025/09/15
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
neurodegenerative diseases. Take the opportunity to work in an international environment with world-leading research and contribute to the development of new diagnostic biomarkers and treatment strategies
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investigations to gain fundamental insights into these new transformations. This position is equivalent to a postdoctoral position and is a initial step in a researcher career. Work duties Detailed description
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
to conduct groundbreaking gene expression analyses in neurodegenerative diseases. Take the opportunity to work in an international environment with world-leading research and contribute
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at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research