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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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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial). What We Offer We provide an inspiring, productive, and collaborative research environment with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 29 days ago
# Proficiency in programming languages (Python, Julia, C/C++) # Excellent communication skills in English Our offer # A vibrant research community in an open, diverse and international work environment
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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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languages (e.g. Python) Very good command of English (oral and written) Additonal skills and experiences that are advantagous: Experience in ocean dynamics Experience in ocean and/or biogeochemical modelling
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental