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actively to conceptual development and manuscript writing Mentor students and engage in collaborative lab projects Present your work at international conferences This is a position is ideal for
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combining field campaigns, laboratory analyses, and novel geophysical techniques. Who are you? You have a background in physics, engineering, geoscience or other related natural sciences. You hold a PhD in
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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deep learning. You will support the development of an improved forest RTM that can exploit LiDAR full-waveform data along with hyperspectral signatures. You will plan and carry out field campaigns in
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techniques to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we
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potential in both research and clinical diagnostics. Objectives. As a post-doctoral researcher, you will drive the development of a robust, end-to-end detection pipeline for cytokines in plasma and other body
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Hospital. The Hatley lab studies how normal development processes are perturbed to drive pediatric embryonal tumors using rhabdomyosarcoma as a model system. Our findings defined the cell of origin
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
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meetings. Work directly with collaborators studying aged T cells. Minimum Education and/or Training: PhD. Special Skills, Knowledge, and Abilities: Mouse handling skills. Flow cytometry analysis of immune
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid