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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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. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with
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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
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strong interest in foundational research very good programming skills, preferably in Python good written and spoken English skills We offer: The position comes with access to high performance computing
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(i.e. Python, shell scripts, Java Script, Java, (PHP), Perl and PowerShell). Configuration formats such as YAML, JSON, and TOML Proficiency in Structured Query Language (SQL) Experience with Oracle, My
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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python and/or MATLAB
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Scholars Program, visit https://orise.orau.gov/doescholars or contact us at doescholars@orise.orau.gov . The DOE Scholars Program offers multiple opportunities during the year to accommodate the needs and
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Institute of Geography and Spatial Organization, Polish Academy of Sciences | Poland | about 12 hours ago
analysis methods in environmental research, programming skills in Python and JavaScript, ability to work in the Google Earth Engine environment, knowledge of machine learning methods and the ability to apply
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. Python, Linux); • While strong computational skills are important, this role places particular emphasis on domain knowledge and scientific understanding in metaproteomics; • Applicants without direct