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Field
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of the sea, with a focus on questions related to marine protected areas About the position You will primarily work on developing and applying video-based methods for monitoring fish in protected areas and
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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Kinetics models - from simplified Point Kinetics to more detailed Space Kinetics approaches – and by integrating high-fidelity neutron physics calculations performed by Monte Carlo methods to generate
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. High-plutonium content (20–30 wt.% Pu/[U+Pu]) mixed-oxide (MOX) fuel materials which are required for LFR-SMRs present fabrication challenges. Conventional sintering methods, developed for light-water
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on the systematic measurement of thermal conductivity evolution with burnup in systematic series of samples available at SCK CEN using LFA and, if available, MEMS-TSB method. Where to apply Website https
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. The successful candidate will work in an interdisciplinary team investigating the diffusion of radionuclides (U, Pu, Am) and decay products (Zr) through rock minerals triggered by colloids, as well as methods
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(https://jobs.uni-siegen.de/job/Researcher-57076/1274979901/ ). Where to apply Website https://jobs.uni-siegen.de/job/Researcher-57076/1274979901/ Requirements Research FieldComputer science » Computer
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling