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Field
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
) Start to develop trainable Artificial Neural Networks for the identification of sequence patterns relevant for the function of the enhancers that harbor the respective NucAlts. Admission Requirements
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related to staff position within a Research Infrastructure? No Offer Description The project focuses on biochemical and structural biology aspects of a protein redox network that is important for bacterial
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develop associated projects or proposals for own or joint research, including research funding acting as a Principal Investigator (PI) as required. To develop research networks through regular national
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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offer A good and professionally stimulating work environment. Opportunities to build strong professional networks. A secure and flexible working environment with good welfare benefits. A workplace in the
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, l.pl 17.515, code 1017, NOK 550 800 gross per year with salary development according to seniority in the position. From the salary, 2% is deducted as a contribution to the Norwegian Public Service
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salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 550 800 gross per year with salary development according to seniority in the position. From the salary, 2% is deducted as a
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to Lifekeys, a digital service for the preservation of personal mental health and well-being salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 550 800 gross per year with salary
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environmental monitoring data and access to Fjordlab marine research infrastructure at NTNU Ålesund, enabling validation of models using real-world observations and sensor networks. The postdoctoral fellowship