48 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions at Nature Careers in United States
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Requirements: * A brief, one-page description of project; we encourage a graphical abstract *Cover Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https
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vitae, a brief cover letter outlining their research experience and interests, and contact information for three references via email to: sgong@engr.wisc.edu Research Group Website: https
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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that currently lack effective treatments, such as Parkinsons Disease. By combining machine learning with quantum chemistry and structure based approaches, the project will accelerate the translation
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machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics of hydrological connectivity of soil moisture using gridded soil
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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, biochemical, cell, and tissue biology method skills. Experience in using computational analysis (biostatistics, machine learning, data science, physics, or a related field). We value diversity and strongly
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of mitochondria in T cells and must have prior experience with mouse models and immunological techniques. They will have the opportunity to learn and perform LC-MS metabolomics using the Thermo Orbitrap Exploris
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(e.g. Docker, Singularity) is desirable. Solid understanding of software development best practices (version control, testing, documentation). Mentoring Skills: Proven ability to mentor and teach others
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al., Nature Communications 2014; Martel et al., Journal of Neuroscience 2016). We also described epigenetic modifications and new gene targets of CREB-dependent transcription following learning