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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant experience
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your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
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based on point defect based spin color centers in diamond and silicon carbide. Desirable: Coding skills in python for analysis of scientific data. Familiarity with infrared laser heating systems
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, computational science, a physical science, or engineering or related field. Comprehensive experience programming in one or more programming languages such as Python, C/C++. Experience with one of the AI
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and the IT support team. What we are looking for You hold a PhD in bioinformatics (ideally obtained after the 1st of Oct 2022). You are an experienced user of Python, R and Nextflow. You have experience
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Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning frameworks, Natural Language Processing, etc. Proficient programming skills in Python and R and working knowledge in SQL Strong
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability