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Field
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(e.g., R, SAS, Python, or similar). Equipment Used: standard research equipment such as light emitting diodes, data logger, environmental sensors, LI-COR gas exchange system, fluorometer. Part time
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background in statistical and probabilistic modelling of earthquake occurrence Experience in research software development and open-science workflows (e.g., Python, Git) Publication record demonstrating
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell
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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses
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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python
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particle accelerator Functional knowledge of particle tracking code that is suitable for tracking spin such as Zgoubi, Xsuite, BMAD Working knowledge of a scripting language, such as python Other Information
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
testing and non-destructive testing (NDT) in general is an advantage Knowledge of flexible sensor technology and electronics is an advantage Proficiency in at least one programming language (e.g. C, Python
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. Strong background and interest in plant‑microbe interactions and/or microbiology. Proficiency in programming languages such as R and Python. Ability to work independently and as part of a team. Excellent
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface