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Field
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laboratory techniques such as DNA/RNA isolation, PCR, NGS-sequencing o bioinformatic and statistical methods based on bash, R or Python • An open mind-set, curiosity and a strong motivation to excel in
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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, statistics, data science, or a related field. Intermediate to advanced written and oral command of English. Some familiarity with scientific data analysis and programming (e.g., in R, Python). Ability
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Proven experience in causal inference or explainable AI, ideally documented through peer-reviewed publications Strong programming skills (preferably in Python), with experience in developing research
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learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common data analysis frameworks Experience in designing, conducting, and documenting data
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Python/Java/C++ be proficient in written and spoken English be able to work in a team We offer: Working in a team of enthusiastic scientists who work to push the boundaries of knowledge in the field in
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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degree in meteorology, physics, geosciences or related field excellent programming skills (preferably in FORTRAN or Python) interest in interdisciplinary climate and coastal research We offer you an
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by