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learning and/or atmospheric chemistry2. good publication records and/or project experiments on related topicsWhat we provide:1. full PhD salary2. joint supervision from both the University of Helsinki and
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expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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position within a Research Infrastructure? No Offer Description Intelligent Work Machines (IWM) Doctoral Program is looking for PhD students (Doctoral Researchers). The IWM doctoral program educates new
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well as to implement innovative machine learning, data integrative and multimodal solutions. The hosting core facility is located in the School of Medicine, Faculty of Health Sciences, on the UEF Kuopio campus
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robotics, mechatronics, machine design, machine dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning and
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dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning, robotic learning, and business models related
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human modeling, Machine Learning, Statistics. Supervisors: Matti Vihola , Juha Karvanen , Jenni Raitoharju , Ilkka Pölönen , Kaisa Miettinen , Samuli Pekkola , Mikko Salo , Sara Taskinen , Klaus
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machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies
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and associate the findings to clinical data using machine learning. The postdoctoral fellow will perform studies on the metabolism of healthy intestinal cells and tumour initiating cells using state