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well as European coastal and marine policies (especially EU-MSFD, EU-WFD and EU Nature Restoration Law) Experience in numerical model data extraction with Python and data analysis in R as well as experience in
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considered an advantage. Experience with one or more of the following computing skills will be considered an advantage: Natural Language Processing; LLMs; R; Python. Experience with teaching and supervision
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or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required
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scientific programming, e.g. using Python, is expected. As we work in international environment it is important that you have a good communication skills in both spoken and written English, and experience in
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systems is an advantage. Basic to intermediate proficiency in Python, particularly for data analysis, modeling workflows, or automation, is desirable. Interest in electrochemistry, molecular modeling, and
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, University College Cork. The Bacteria & Cancer theme, led by Mark Tangney, involves the study and/or and application of bacteria in cancer settings https://www.ucc.ie/en/cancer-research/people/mark-tangney
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processing, software-defined-radio and similar A solid background in programming and signal processing (C, Matlab, Python, …) Knowledge and experience with embedded systems are a strong plus (C, FPGA
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
transduce these signals into biological responses. Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application Requirements Research FieldBiological sciences » BiologyEducation LevelMaster
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research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career
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development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C