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of genotype and DNA sequence data, simulations programming/scripting languages such as R or Python, working with data in a Linux environment. Great emphasis will be placed on personal qualities such as
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the following skills and experiences: Excellent communication skills in written and spoken English. Excellent coding skills in R, Python, or equivalent language. Research interest in causal inference (see e.g
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with embedded systems is a plus. -Solid programming skills in Python or similar languages. As a person you should have a strong analytical thinking and problem-solving abilities. You should also have
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, Data Science, Machine Learning, or a closely related field. Programming skills in Python, R, or similar data science languages. Preferred qualifications A doctoral degree or an equivalent foreign degree
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systems Experience in the fields of surface catalysis, electrochemistry or thin-film deposition Experience in programming in Python Experience in handling large spectroscopy datasets Experience in assisting
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of environmental modeling tools (e.g., PHREEQC, MATLAB, or Python). Experience in international collaborations or fieldwork in marine or environmental studies. We are an international research group and publish
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languages such as Python, C++, or Julia Demonstrated experience in the development of hardware-accelerated scientific applications and high-performance distributed computing Commitment to the best practices
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applications Fluency or advanced level of English language in speech and writing Meritorious are: Experience of mathematical methods for inverse problems Software development, e.g. Matlab or Python Good ability
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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collaborations (e.g. the Pristine Survey, Gaia-ESO Survey). Expertise in high-precision spectroscopy of K- and M-type giants, especially using IGRINS data. Proficiency in Python, IDL, TOPCAT, and other relevant