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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 5 days 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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of Technology and one part-time professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The text
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data with other geophysical/petrophysical data (preferred), • Modeling and analysis skills in MATLAB, Python, or similar software, • Excellent analytical skills, • Conscientiousness and high diligence in
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 5 days ago
project (http://www.numpex.fr ) endowed with more than 40 million euros over 6 years from 2023, to build a software stack for Exascale supercomputers related to the arrival in Europe of the first Exascale
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.: +33 (0)4 76 88 22 80, email: schulli@esrf.fr ), Expected profile A background in X-ray diffraction or electronics would be desirable and knowledge of programming (Python) would be an advantage. Teamwork
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solid Python skills. Interest in computer vision, representation learning, concept drift, Statistical Process Monitoring (SPC/SPM), active learning/DOE, MLOps. Curiosity, independence, and excellent
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beneficial Experience in working with mouse models Advanced programming skills in Python are beneficial Strong motivation and ability to work both independently and collaboratively as a member of
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or molecular/cancer/evolutionary biology) At least one first-author paper in a peer-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics
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-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics Experience with next generation sequencing Experience with using pipelines and