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Field
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record of peer-reviewed publications. A background is required in computer programming (including Julia and/or C/C++), applied mathematics and statistics. Please upload your application materials via
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experience: Essential criteria PhD in neuroscience, neuroimaging or related discipline. Experience and knowledge of performing functional MRI experiments Proficiency in the use of statistical packages (e.g. R
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
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fellows to build their own research programs. For interested candidates, there are opportunities to develop qualitative as well as quantitative and statistical expertise. Salary is competitive with
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licence. Is Your profile described below? Are you our future colleague? Apply now! Education · You hold a PhD in Physics, Biology, Environmental Science, or a related discipline Experience and
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with experimental collaboration to uncover complex biological mechanisms. Our interdisciplinary work draws on statistical physics, applied mathematics, and close ties with experimental labs. Current
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future funding. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications Willingness to work with large animal models Experience with tissue culture and primary cell
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and Skills 1. A PhD, ScD, PharmD, MD, or equivalent degree, with experience in clinical research, epidemiology, pharmacology, or related fields 2. Strong background in epidemiological/statistical
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning