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Field
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-completed PhD (within the last 0-5 years) in field of physics, engineering, or a closely related field Demonstrated programming proficiency in C/C++, Python, or another scientific programming language
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, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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, or a related field, with demonstrated experience in quantitative ecological modelling, community or population dynamics, and strong analytical and programming skills (R or Python). How to apply
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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coding in C++/Python/Julia and/or using software such as COMSOL Multiphysics. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V, electrochemical
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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courses and mentoring students in research Experience in writing and publishing research articles, including for general scientific audiences Strong coding skills, preferably in Python Familiarity with
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. They will be expected to conduct empirical analyses in Python and/or R, use impeccable data management procedures that can be easily replicable, contribute to research strategy and results reporting
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with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle