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processes. We also welcome applicants with an MSc degree in Biology or Biochemistry who possess a solid aptitude in the use of the command line and knowledge of a programming language (i.e. python
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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Proficiency in Python programming is preferred Salary Commensurate with experience. Number of Vacancies Multiple Desired Start Date 06/01/2026 Posting Detail Information EEO Statement It is the policy
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, work, environment, and mobility. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position
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. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and
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programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin. Instructions
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disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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interest in quantitative biology Curiosity and motivation in learning multiple -omics approaches Preferred experience includes familiarity with quantitative proteomics or NGS library generation Previous