Job ID:
Job date: 2018-06-25
End Date: 2018-08-24
Company : CAMH Country : Canada Role : Research Scientist
Job date: 2018-06-25
End Date: 2018-08-24
Company : CAMH Country : Canada Role : Research Scientist
Job Description:
We seek a candidate interested in neuroscience and genomics with experience in computer vision and machine learning. Reporting to scientists at both the Centre for Addiction and Mental Health & SickKids, the Analyst will work in close collaboration with trainees and software developers in the two labs. Responsibilities: The incumbent will help architect and train deep convolutional neural networks for genome and brain-wide molecular neuroanatomy. These networks will then be applied to better understand neuroanatomical patterns of autism and schizophrenia. You will play a key role in this open source project. You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable standards and regulatory requirements. This position will be located at 250 College Street. Qualifications: The successful candidate will have an Honours Baccalaureate in computer science, engineering, physics, math, or statistics, combined with one (1) year of relevant research or practical experience. You have a keen interest in bioinformatics, genomics, or neuroscience. You will possess expertise in machine learning and computer vision with Python programming experience. You are experienced using TensorFlow and/or Keras. You are an excellent communicator both written and verbal with strong organizational and time management skills. Bilingualism (French/English) and/or proficiency in a second language would be an asset. Location: Toronto, ON, Canada Job Type: Programmer/Developer Degree Level Required: Bachelor's
Additional Info:
The Computational Neurobiology Laboratory seeks to understand brain disorders by mining neuroscience datasets. Specifically, we focus on connectivity, gene expression, and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales and species.[Click Here to Access the Original Job Post]
We seek a candidate interested in neuroscience and genomics with experience in computer vision and machine learning. Reporting to scientists at both the Centre for Addiction and Mental Health & SickKids, the Analyst will work in close collaboration with trainees and software developers in the two labs. Responsibilities: The incumbent will help architect and train deep convolutional neural networks for genome and brain-wide molecular neuroanatomy. These networks will then be applied to better understand neuroanatomical patterns of autism and schizophrenia. You will play a key role in this open source project. You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable standards and regulatory requirements. This position will be located at 250 College Street. Qualifications: The successful candidate will have an Honours Baccalaureate in computer science, engineering, physics, math, or statistics, combined with one (1) year of relevant research or practical experience. You have a keen interest in bioinformatics, genomics, or neuroscience. You will possess expertise in machine learning and computer vision with Python programming experience. You are experienced using TensorFlow and/or Keras. You are an excellent communicator both written and verbal with strong organizational and time management skills. Bilingualism (French/English) and/or proficiency in a second language would be an asset. Location: Toronto, ON, Canada Job Type: Programmer/Developer Degree Level Required: Bachelor's
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Additional Info:
The Computational Neurobiology Laboratory seeks to understand brain disorders by mining neuroscience datasets. Specifically, we focus on connectivity, gene expression, and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales and species.[Click Here to Access the Original Job Post]