29 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at UNIVERSITY OF HELSINKI
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variety of development opportunities and benefits. The position is located at the Swedish School of Social Science (Soc&kom), which is an independent unit at the University of Helsinki Soc&kom’s vision is
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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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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, inclusion, and well-being. Group members have ample opportunities to develop both technical and transferable skills—including programming, data visualization, communication, networking, and leadership
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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(FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our interdisciplinary team. Project overview This project aims to develop machine learning models