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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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and Care Excellence (NICE) and other leading agencies. Depending on your level you will: GRA: Support cost-effectiveness aspects of health technology assessments (HTAs), analysing economic models
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Engineering, Mechatronics, etc. Strong background in end-to-end autonomous driving, foundation models and reinforcement learning. Candidates having relevant research or working experience in autonomous driving
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working with invertebrate model organisms and with experience in experimental and bioinformatics analyses of repetitive genome sequences. Where to apply E-mail natjecaji.pisarnica@irb.hr Requirements
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in