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datasets (computational track) Solid experience with targeted, suspect, and/or non-target screening strategies Programming skills (e.g., Python, R, MATLAB) for processing and analysis of chromatography and
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or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning frameworks. Should be comfortable working with machine learning
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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Python or similar. Experience with optics and/or reflectometry for X-rays and/or neutrons. Personal drive and self-motivated. Good communication skills in English, both written and spoken. Being able
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
candidate has A relevant Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python or comparable programming
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sample sets Experience with chemometrics, machine learning or deep learning applied to analytical data Programming skills (e.g., MATLAB, R, Python) and proven experience in AI-assisted development with a
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, or cybersecurity principles. Familiarity with signal processing, particularly with high-frequency sensor data (such as acoustics or vibration) is an advantage. Programming skills: You are proficient in Python