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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 hour ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
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optimisation algorithms for quantum routing using genetic algorithms (GA), ant colony optimisation (ACO), and particle swarm optimisation (PSO), optimising cost functions subject to entanglement fidelity
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
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scientists of the University, University Hospital, and Max Planck Institute Münster as well as of the RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
the following for the second part: - Learning-based regularization and their efficient combination with standard algorithm. Use of genetic algorithm to avoid local minima? - Representation / Improvement of a
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period of 12 months, possibly renewable up to a maximum of 36 months, scheduled to start on March 2026. 2. WORK PLAN AND WORKPLACE: The project will investigate the developed algorithms and methods
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of genetically encoded agents, primarily for photoacoustic and fluorescence imaging.Using technologies like photoacoustic imaging, we seek to visualize small populations of labeled cells (e.g. immune cells) deep
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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participants of the Netherlands Twin Register, integrating genetic and psychological data where relevant. Beyond algorithm development, you will also address methodological challenges such as data quality, bias