40 computer-science-programming-languages-"the"-"IDAEA-CSIC"-"EURAXESS"-"U" PhD positions in United States
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candidate will have an opportunity to work closely with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer science
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data
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Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Statistics Physics Industrial Engineering Economics (more...) Management Science & Engineering Computer Science and
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Economics Physics Management Science & Engineering (more...) Mathematics Computer Science and Electrical
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that examines the disproportionate impact of zero tolerance policies and practices on low-income students of color. • Must have a program of research that utilizes both quantitative and qualitative methodologies
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment