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members. ● Conduct training sessions on statistical methods, programming, and analytical tools as needed. Quality Assurance: ● Ensure adherence to best practices in data quality, code review
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
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concentration (SSC) from remotely-sensed data. Includes coding automatic satellite data extraction and analysis macros for multiple satellite data repositories and building regressions for SSC 30%- 2D
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codes such as ImpactX, GPT, or similar. ● Experience with common PIC codes used in LWFA research such as OSIRIS, FBPIC, or similar. Brief Description: The primary purpose of this position is to
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: Writing and testing of code. Planning of research & discussing research with collaborators. Writing papers, and giving presentations. Qualifications: PhD in Chemistry Before applying, please note that to