291 computer-science-programming-languages-"St"-"ST"-"St" Postdoctoral positions at Nature Careers
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at least one programming language: Python, MATLAB, R or C A strong publication record in relevant fields. Curiosity, critical thinking, and enthusiasm for interdisciplinary teamwork. Comfortable
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five weeks of paid
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to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar languages
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment