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Field
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to
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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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our industrial partners. You will work in the cyber analytics and CISE labs in the Algorithmics and Software Engineering Research groups at the Software Technology department under supervision of dr
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Electronics: Creating next-generation microwave electronics that balance size, power, and performance for handheld platforms. Signal Processing for Embedded Systems: Designing and optimizing algorithms
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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with the rest of the team, you will build demonstators for the Find2Fix technology at our industrial partners. You will work in the cyber analytics and CISE labs in the Algorithmics and Software Engineering
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(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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activities (monitorship). - Participate in the supervision of trainees up to Master's level. Skills : - Mastery of the basic theoretical and algorithmic aspects of signal processing. - Proficiency in