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the synthesis of drug-like compounds. Your tasks: As a PhD student in this Doctoral network you will use machine learning (ML) for the optimization of generality of synthetic methods. You will start with
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performance. Minimum Education and Experience A minimum of a PhD in a field directly related to research and a minimum of two years of experience/expertise as noted below. Preferred Education and Experience
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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: Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl Deadline: none (posted 2025/09/11 05:00 AM
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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nanostructures to macroscopic performance optimization. Discipline, including, but not limited to: Materials Science and Engineering, Materials Engineering, and Nanotechnology. Major Responsibilities
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innovations in the bio/pharma domain can be translated into industrial, commercial, or societal value. Information about the course can be found in the DTU course catalogue: https: //kurser.dtu.dk/course/22179
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directions should be primarily considered: (1) Mathematical Logic and Combinatorics (2) Geometry and Topology (3) Analysis or Applied analysis (4) Scientific computation and Optimizations (5) Probability and
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reactive species. Material characterization techniques using: XRD, SEM, FTIR, ICP-OES Requirements: PhD in Plasma Science, Chemical Engineering, or related fields Candidate Profile PhD in Plasma Science
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing