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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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preferred licensure/certification?: Preferred Computer Applications: Microsoft Outlook Preferred Other Computer Applications: Adobe Photoshop, REDCap, EPIC/One Chart, R, Python Preferred Additional Knowledge
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, superconductivity, quantum optics, growth (MBE) etc. – http://www.insp.jussieu.fr/. ; Our team has developed an expertise in magnetoacoustics on various systems, take a look at our webpage: https://w3
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expertise in either Data Structures, Algorithm Design and Analysis or Python Programming. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated
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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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). Reactive transport modeling (COMSOL/MATLAB/Python). Micropollutant analysis (LC-MS, GC-MS). Knowledge of wastewater treatment and effluent characterization (COD, BOD, TSS). Technical Skills: Proficiency in
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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 1 day ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping