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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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19165 Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped mu...
fishing activities, major shipping routes, and offshore development locations. The EU Oceans Pact highlight the need to assess and manage dumped munitions. Two EU-funded projects, MUNI-RISK (https://muni
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for structural biology, predictive genomics, systems neuroscience, and virtual cells. Candidates with strong interdisciplinary profiles at the interface of computational theory and biological applications
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, advancing the integrated development of the medical and hygiene field in the Beijing-Tianjin-Hebei region, and contributing to the construction of a Healthy China and a Healthy Beijing. Sincerely invite
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as possible (http://www.au.dk/en/internationalcentre/ias/), and the department will assist foreign candidates with finding a suitable place to live. Contact information Further information may be
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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A postdoc position is available in the lab of Dr. Taosheng Chen Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab ( https://www.stjude.org/research/labs/chen
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, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv Main responsabilities: Tool Extension & Integration: Develop a
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large European, Danish and American grants including, “Recursive and Exact New Quantum Theory” (ERC-Synergy), “New Structures in Low-Dimensional Topology” (Simons Collaboration) & “Topological Photonic
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biology’s core challenges: the lack of capabilities in rational design and efficient construction. It focuses on two key research pillars: the quantitative principles of life emergence and synthetic biology