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Field
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will work in a collaborative and innovative environment, alongside researchers and industrial partners. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL2010-CEDBUC-002/Default.aspx
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Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six months. Re-appointment thereafter will be subject to performance
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 11 days ago
or Engineering Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Minimum job requirements: The
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U.S. Citizen Preferred Qualifications - PhD in Physics or a related field - Experience is required in two or more of the following areas: - frequency stabilization of laser systems - Python programming
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independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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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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to support computational analyses, interpret results, and produce publication-quality figures and written reports. Maintain and document lab software tools, HPC workflow scripts, Python packages, and
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee This position is part of the research project
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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