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of computer simulation, Large Language Models, or machine learning etc, but a working knowledge of data science research processes from a relevant quantitative discipline, and strong coding skills are essential
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of the ‘population code’, gaining a causal understanding of how population activity drives actions. The postdoc will work with the PI to develop an independent project, that leverages the expertise of the lab and the
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. - Strong quantitative skills and experience coding in MATLAB or Python - Track record of publications and presentations. - Experience in mentorship and/or teaching. Preferred Qualifications • Demonstrated
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. Selection Process Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers . Selection criteria: (i) meeting qualification requirements described
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veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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stability assessment, and control design. Familiarity with CIGRE benchmark systems for power system stability testing. Industrial experience in wind power integration, grid code compliance, or energy system
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, image, transgenic mice breeding and genotyping; Transient transfection, lentiviral infection, stable line generation; Molecular cloning: Gateway, Gibson, sgRNA et al; Flow-cytometry: multiple channel FACS