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Field
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- Simulación en entornos virtuales para el estudio de algoritmos de clasificación de objetos y generación de datasets ------------------ - Implementation of algorithms in embedded processing systems for train
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-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
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-including evolutionary algorithms, ant colony optimisation, and simulated annealing-to fine-tune an LLM/agent that generates high-quality prompts, inputs, and tool-use strategies for density functional theory
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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of auditory stimuli and creation of stimulation sequences 5) Implementation of pilot studies in adults and infants 6) Programming analysis algorithms for FFR, MMN and statistical learning, based on spectral and
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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, and Lifelines. Groups of patients with different prognoses will be identified through unsupervised clustering using algorithms such as K-means and NMF. To evaluate the tumor microenvironment, tools
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programming (Python, MATLAB), neural networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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background in computer science or biomedical engineering, with a strong focus on programming using deep learning libraries and machine learning algorithms. Demonstrated experience in medical image processing