229 computational-physics-superconductor Postdoctoral research jobs at Nature Careers
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The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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60,000 RMB/year). National "Bo Xin" Program A (280,000 RMB), B (180,000 RMB), C (120,000 RMB); Central Plains Youth Bo Xin Innovation Talent (200,000 RMB/year); Competitive research start-up package
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An open minded and motivated team Offers to support the compatibility of family and career Support for your personal and professional development through Heidelberg University's internal educational program
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program that includes lectures, advanced scientific workshops, complementary skill courses and opportunities for career development a mentoring program to guide and promote young scientists Salary: Payment
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
related fields within the last 3 years and who have experience in organoid development, patch-clamp techniques, 2-photon imaging, and computational neuroscience. The successful candidate will lead an
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology