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. The department is BTH's largest department, with 70 people. The research at the department is conducted in four major areas: artificial intelligence and machine learning, cloud computing and distributed systems
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, and methods for supporting software development, and conducts research in a variety of topics that include compiler construction, declarative specification languages, distributed development
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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. Familiar with robotic control systems, perception, and kinematics. Comfortable working in Linux environments with tools such as Git. Knowledge of MATLAB for simulations and algorithm prototyping. Basic
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specialise in nanoparticles formulated from lipids. We characterise the composition and distribution of lipid molecules in both synthetic and naturally occurring nanoparticles (including extracellular vesicles
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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant