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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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an asset: Hands-on experience with laser setups and optical characterization techniques Understanding of rare-earth-doped materials Programming skills, ideally in Python What we offer The position is limited
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
of around 3 months in Chile is planned # Basic to good programming skills for data analysis and image processing (e.g., MATLAB, Python) # Good written and spoken English Our offer # A vibrant research
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Experience with, or strong motivation to learn, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
skills in Python and/or C/C++ # Experience with scientific software tools and numerical libraries # Familiarity with Linux-based computing environments # Ability to work independently and in a structured
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results