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Responsibilities: Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. Perform basic analysis, algorithm implementation, programming, and quality check
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to develop scientific methods and algorithms to address aims of clinical and research projects and protocol. Job Responsibilities: Assist with identifying technical solutions to simple domain problems and
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nonadiabatic dynamics. Interest in extending methods that allow the application of quantum algorithms, using quantum simulators or/and quantum computers for quantum chemistry. Strong programming skills
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy with defined microstructure, improved mechanical and corrosion properties. Research stays are planned
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. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage. Specific experience of using
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative
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. This includes overseeing local plasma experiments, such as the NORTH tokamak and a linear plasma device, and contributing to the design and optimization of antennas for ion cyclotron heating and gyrotrons
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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms
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are particularly interested in outstanding candidates with innovative research programs that attempt to bridge the gap between biological and artificial intelligence, and/or use statistical ML algorithms and modern