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required to have: Documented experience in experimental research, for example work conducted in laboratory, testbed, or industrial environments. Experience with industrial robots, collaborative robots
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degree. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal communication skills in English Documented experience from modern LC-MS
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whole-genome duplication across diverse plant systems (see https://www.yantlab.net/ ). The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations
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-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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sciences, medical science, public health, social work, implementation science or another field relevant to the project. The position requires: Documented experience of qualitative data collection and
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topics within applied economics. Applicants should have experience with experimental methods and/or empirical analysis of observational data with an emphasis on causal inference. Experience with methods
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projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct immunohistochemistry
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collaborations Experience with evidence synthesis, meta-analysis, or other comparative methods Experience in experimental research with animals or other biological systems Experience in field ecology, animal
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experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local