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project NICE is a center for research-driven innovation (i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required
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learner, analytical thinker, creative, "hands-on", team-player. ? Experience with computational analysis, algorithm development and statistics. ? Proficiency in at least one modern programming language
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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knowledge of R and Python programming languages in the areas of algorithmic trading and modelling of market risk; Specific Requirements other significant achievements (e.g., awards, scholarships) and
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics
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of digital signal processing algorithms. Other qualifications For the doctoral programme in question, the following are considered as other qualifications: Experience with development tools for digital
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del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering
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Participates in patient rounds, conferences and committees Actively participates in the development and maintenance of patient management algorithms and standing orders. Documents patient care data in Epic in