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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on understanding the evolution of homoploid hybrid lineages. Work tasks We will focus on sequencing
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We are looking for a highly motivated Postdoctoral Researcher to join “The Organic Photonics and Electronics Group” (web: opeg-umu.com ) at Umeå University, Sweden. You will be part of a larger effort aimed at the fundamental study and practical development of light-emitting electrochemical...
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and creating inclusive environments. Flexible and Supportive: Tailored training and career development...
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. This process will focus on controlling the metal content, metal distribution, and microstructure of the pellets to better simulate real-world conditions. Spent nuclear fuel contains a complex mixture of chemical
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rotation forestry towards continuous cover forestry methods is debated in Scandinavia as a way forward to increase biodiversity and climate resilience. This postdoc project will be based on empirical field
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persons using blood-borne volatile organic compounds (VOCs) in breath, towards the goal to improve vector control tools. The main duties of the postdoc will be to carry out an independent research project
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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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magnetoelectric coupling, particularly those related to chiral magnetism. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must hold a
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. The position is part of a large initiative funded by KAW to develop a comprehensive platform that will enable, for the first time, deterministic control of atomic configurations in UWBG materials. The project
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman