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. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu. REQUIRED : Ph.D. in a relevant discipline; proficiency in scientific programming; and
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programming; and demonstration of experience in quantitative research. PREFERRED : Experience with machine learning methods for time-series analysis; anomaly and changepoint detection, or instrument
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analysis. Publications as the first author in peer-reviewed journals. Supplemental Qualifications · Ideally 2-3 years of relevant hand on research experience. · Strong background in proteomics and/or nucleic acids biochemistry. Competence with bioinformatics programming in R
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biology. A strong programming capability is necessary. Supplemental Qualifications Preferences will be given to those who have research experience in large language models (LLMs)/foundation models (FMs
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visual perception. Good programming (Python) skills are required along with a good understanding of empirical methods and ways to connect empirical findings with model behavior. The position also
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programming as a creative and performative practice, enabling students to generate, manipulate, and perform music, visuals, and interactive systems through code in real time. The successful candidate
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Zentralinstitut für Seelische Gesundheit | Mannheim, Baden-Württemberg | Germany | about 2 months ago
activity using optogenetic and/or chemogenetic approaches. Analyze and interpret experimental data using quantitative methods and programming tools (Python and/or MATLAB). Your Qualifications A PhD in
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
simulation, algorithmics, imaging, and Python programming. It is based on a bibliographic study and on the experimental handling of characterization tools. The job takes place at the Institut National
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
related Engineering or Physics. Experience with MRI acquisition and data analysis, preferably with familiarity with MRI sequence programming and/or coil design, particularly with Siemens scanners