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Field
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requirements: - solid knowledge of the TCP/IP stack and Linux; - proven experience in programming with C++ and/or Python; - research and development experience in the field of computer networks. 5. EVALUATION
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projects.; - Fluency in English (written and spoken).; - Experience with open data platforms.; Minimum requirements: - Knowledge and programming experience in Python. - Ability to work independently or as
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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Leibniz Centre for Tropical Marine Ecology, Bremen (Adam Ceesay ) Max Planck Institute for Human Development, Berlin Max Planck Institute for Biogeochemistry, Jena Museum für Naturkunde – Leibniz Institute
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development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should
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experience for example with python, fortran, C++ or others. Experience in modeling spectroscopic observables. Experience in quantum and semi-classical dynamics As a founding signatory of the Athena SWAN
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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++/Python. Excellent communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments