199 computer-algorithm-"The-University-of-Edinburgh" Postdoctoral positions at Nature Careers
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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
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of food-induced anaphylaxis, to study functional immune changes in a longitudinal mode. Integrating those clinical and immune data will generate computational models to endotype patients and to decipher
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given to applicants who have received their Ph.D. degrees in behavioral neuroscience or related fields within the last 3 years and have experience in computational neuroscience and data mining using
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innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as
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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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-funded financial support for salary or stipends (e.g., National Research Foundation Mid-Career Researcher Program, Jang Young-Shil Fellow, or similar programs), duplicate funding is not allowed. Applicants
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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