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leading project staff • Didactic skills / experience in e-learning • Experience/familiarity with R or Python and SQL and STATA • Excellent knowledge of English (C1) • Team player and high social
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computer-aided molecular design. Strong knowledge of chemistry, ideally pharmaceutical chemistry, proteins, structural biology, and protein-ligand interaction. Strong background in Python programming
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Digital Humanities with a focus on network analysis or deep learning Experience with the collection and analysis of data for historical research Experience with programming for the humanities (Python, R
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information (e.g. tensor network calculus, quantum communication protocols, quantum tomography protocols), linear algebra, and programming (e.g. Mathematica/ Python/ Matlab). You have an excellent command
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Good knowledge of research practice, as well as a broad understanding of how research operates and how data and software underpin reproducible research Very good knowledge of Python and Jupyter services
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programming skills in R and/or Python. You are also eager to learn new research methods. You have initial experience working with and fine-tuning LLMs and wish to further develop these competencies. You have
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biology background Strong ambition and good work ethics #7: Experience in the area of bioanalytical chemistry, statistical analysis of big data #8: Strong programming skills in Python, R, or similar
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) programming/stats skills (preferably Python, R) are mandatory, and first research experience in designing, running, analyzing (and possibly also publishing, or preparing to publish; see required application
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analytical mind. Strong communication, data presentation and visualisation skills. Ability to work, both independently and collaboratively. An asset: Experience in programming in Python, experience in working
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experience. Professional skills such as programming knowledge and skills (e.g., R, Python) and a strong record of scholarly achievement (e.g., through publications in peer-reviewed journals, appropriate