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Time-Domain Spectroscopy, Hall measurements, Raman microscopy, device fabrication, Scanning Electron Microscopy, Instrument control in LabVIEW or python, synthesis of 2D materials, 2D materials
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FieldPhysics » Solid state physicsEducation LevelMaster Degree or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Master's degree or equivalent in a related field. Proficiency in Python
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FieldPhysics » Chemical physicsEducation LevelPhD or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Ph.D. or equivalent in a related field. Proficiency in Python programming. Deep
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
ecosystems, statistical data analysis, programming and data analysis using languages such as R and/or Python. Experience in conducting scientific research related to ecology, environmental monitoring
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Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications - Strong Background in statistics and deep learning; - Excellent programming skills in python; - Familiarity with Unix
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methods. Knowledge of a programming language such as C/C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will
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; Knowledge of software such as Comsol, Lumerical, Optical Studio; Knowledge of programming languages: Matlab, Python; Ability to solve technical problems; Creativity and communication skills; Manual skills
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Fortran and Python, run in a bash scripting environment. Observational experience (photometry). Desirable qualifications, experience and knowledge Ability to apply for additional photometric observations
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development, including firmware programming (C/C++) and interfacing with ADCs, DACs; 4. Good knowledge of programming in Python for data analysis, laboratory automation, and control systems; 5. Strong