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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics) to achieve systems-level insights into disease mechanisms. Identification and validation of clinically relevant metabolic biomarkers for early disease detection, prognosis, and treatment response
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universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate
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Job Description Are you interested in uncovering the mechanisms underlying human social dynamics between dyads, groups, and networks, during real-time social interaction? We invite applications
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine single-cell
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experience in the fields of computational mechanics and computational geomechanics. Preferred Qualifications: Experience in the following areas is preferred: Experience in modeling geomechanical systems
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This is an exciting opportunity for an enthusiastic and self-motivated scientist to join the lab of Dr Katerina Toropova. The project aims to elucidate the molecular mechanisms of dynein-2 transport
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Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Mechanical Engineering Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job
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This is an exciting opportunity for an enthusiastic and self-motivated scientist to join the lab of Dr Katerina Toropova. The project aims to elucidate the molecular mechanisms of dynein-2 transport