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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
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experience working with water sampling, laboratory processing of microbial and nutrient samples, as well as with metagenomic analyses. The ideal candidate would also have prior experience in polar ecosystems
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well as their applications to quantum information processing. The project which funds this position focuses particularly on the interplay of strong correlations and geometric fluctuations in quantum materials with
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of a substrate by ion implantation and annealing. In practice, the 2D material will be deposited on a substrate previously implanted with H⁺ and/or He⁺ ions, then subjected to annealing. This process
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3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated
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or master’s level. You supervise master’s students in the context of exercises, internships, and master’s theses, as well as PhD students under the supervision of the promoter(s). WHAT WE ARE LOOKING FOR You
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex
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digital twin environments and validation frameworks to ensure reliable, secure, and reproducible deployment processes. The project is carried out in close collaboration with Ericsson and Arctos Labs
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/postdoc-position-crop-genomics-… Requirements Specific Requirements Essential Qualifications You hold a PhD degree in Bioinformatics, Computational Biology, Plant Genomics or a related field. You possess
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candidate is expected to present the findings at international conferences and publish the results in top international journals. Your Profile PhD in Materials Sciences, Physics or equivalent. Background in