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platforms and our local CPU and GPU clusters; implementing Python tools for automating CSP/DFT calculations; - Participation in the scientific activities of the Applied Quantum Chemistry group (IC2MP) and the
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beamline users Publish research results and present them at relevant scientific meetings and conferences Where to apply Website https://apply.refline.ch/673278/3886/aJO.vvIactoV4k717Yw42qao9ZwQEzhr80l4tKOZJq
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply
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work environment. Experience in and understanding of the challenges facing higher education organisations Experience in Python A self-starting attitude Serverless computing with AWS is key to our
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conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding
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quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise
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: language learning/acquisition, interpretability/mechanistic analysis, human-like modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch
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contribution to health insurance coverage Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5557-BEABIG-046/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research
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validation activities, including basic descriptive analyses using programming languages such as SAS or Python, as appropriate Monitor study status and provide status reports to the team Write and review data