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statistical analysis, research data management and scholarly writing, including a track record of peer-reviewed publications. You will bring excellent analytical, organisational and communication skills
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in the frame of the SUPHA project funded by the Luxembourg National Research Fund (FNR) through the TREK research program. SUPHA goal is to develop and optimise a membrane‑based process that recovers
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statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence
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culture and rodent-based research projects Develop and troubleshoot research protocols Help train laboratory personnel in experimental techniques Conduct cell biology, immunology, and biochemical
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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finfish feeding trials, collecting data on growth performance (SGR, DGC), feed conversion ratio (FCR), survival, and tissue accumulation of heavy metals. Conduct statistical analyses of feeding trial data
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position within a Research Infrastructure? No Offer Description Activities The post-doctoral fellow assigned to the “Real Estate Markets in Favelas” project will develop new theoretical approaches to explain
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project implementation. Learns and becomes experts at research techniques involved in your projects and, when appropriate, to develop and establish methods of research, testing and data collection, analysis
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 10 hours ago
experiences, and honors/awards A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional recommendations You must provide
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mammals, with the goal of revealing new mechanisms of gene regulation and cellular signaling. Position Overview The successful candidate will develop and apply advanced computational methods to identify