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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work
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requirement chart for teaching and research staff in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal work performance. The University
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salary component based on personal work performance. The University of Helsinki Doctoral School has 33 doctoral programmes. Approximately 500 doctoral degrees are completed at the University every year
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limited to) performance tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference. We seek to improve our AI and machine learning work by bringing in tools to assist
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researchers range from 3625–4060 euros depending on experience level and personal performance An exciting opportunity to conduct novel and impactful research in a supportive and stimulating environment Access
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research team. The following are considered as advantage: Any previous experience in working with spacecraft data. Deep knowledge of AI methods (esp. machine learning based) and their performance estimation
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physics. Our experimental responsibilities include trigger algorithms and performance, detector calibration, and jet energy corrections. The two appointed candidates will work within the research project
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researcher 2-4 (2225,83-2775,28 €/month). In addition, a salary component based on personal work performance is paid. Typically, at the beginning of the employment this percentage is 10-17%. The position is
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-MuTaNTS can be used therein. Tasks for the Post-doctoral Researcher Position Perform pore-scale reactive transport simulations and take part in the development and benchmarking of the developed code in