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data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil
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conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R Experience with traveling and spending time abroad Ability and willingness to teach and
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community. We develop and commercialize simulation tools, as well as measurement equipment for all-in-one electro-optical device characterization and for device stability assessment. Our R&D tools are used
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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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, religion, gender and ethnicity Demonstrated experience in planning, overseeing and conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R
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no later than one month after the publication of recruitment results. Knowledge of R/Python or related programming languages is welcome. Additional scientific activity (publications, conference
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 13 hours ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and
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. Loubière, T. Neveux, R. Privat, and T. Nabil. “Representation Learning for Flowsheets: Generating Structures for Process Synthesis”. In: ESCAPE34- PSE24 Books of Abstracts. 2024, p. 01. doi: 10.3303/BOA2401
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches