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Field
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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, photonics, or electrical engineering, with interest in both theory and experiment. Experience with numerical simulations (e.g. time-domain propagation, coupled-mode theory, or nonlinear ODE/PDE solvers
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)physics, chemistry, or a related field. A solid knowledge of the theory of molecular systems and statistical mechanics, as well as skills in molecular dynamics simulations, is highly desirable. Proficiency
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 5 hours ago
or equivalent) in Computer Science, Machine Learning or a related discipline. Strong foundation in machine learning / deep learning (theory + hands-on). Evidence may include a thesis, open-source project
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simulations of light-harvesting complexes and membrane proteins. Successful candidates should have a master's degree in theoretical (bio)physics, chemistry, or a related field. A solid knowledge of the theory
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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depend on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function (if the candidate has a strong biological background), developing theory and
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3
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, or English, a summary of max 1,000 words must be included, outlining method, theory, and results/analysis. A CV in Swedish or English showing eligibility for PhD studies in Sociology of Law. Degree