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more than a single semester With strong digital skills and willing to learn more about applying cutting-edge programing language (Computer Vision, LLMs, etc.) As a person, you have good communication skills
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independently but supervised by members of the research team. Our expectations of you We seek a candidate with excellent skills using, adapting and analyzing state-of-the-art machine learning models. We seek a
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or entirely novel properties with respect to any single component (for instance, a functional entity in a biosystem). Extensions to decomposed machine-learning models developed in our lab will furthermore be
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of surfaces in 3-space is an essential prerequisite. Knowledge of computational geometric algorithms, optimization, and machine learning techniques would be favourably regarded. Position 2: You will focus
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activity(at cortical, spinal or peripheral level) and/or bio-psycho-social behavioural assessment. Advanced signal analysis, including e.g. machine learning techniques, should used for assessment and
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), Experience or motivation for applying statistical and machine learning methods to strain design challenges, We offer DTU is a leading technical university globally recognized for the excellence of its research
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on cutting edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural
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theory, graph transformation, algorithm engineering, machine learning. Proven competences in programming and ease with formal thinking are a necessity. The general goal of the TACsy project is to expand
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include quantitative genetics, machine learning applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus in Aarhus and at Research
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-aware machine learning to enhance the computational efficiency of simulations critical for understanding natural phenomena and advancing technologies for environmental sustainability. To allow larger and