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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
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anthropogenic impacts on these elements. The scale of the project will be at different levels from case study and country level to continental and global level. Work duties You will primarily devote yourself
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quantity and assessing the impact of climate and anthropogenic impacts on these elements. The scale of the project will be at different levels from case study and country level to continental and global
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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. It concerns also the physical radio channel and the interaction between this, the antennas and the other parts of the radio system. Interaction between different sub-parts is essential to reach a well
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: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm