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, neuroscience, physiology, physics, or computer science · Be a proficient programmer and experience in Python, MATLAB, NEURON, COMSOL, and / or git are assets · Be familiar with neural biophysics and
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field Experience working with cryogenic thermal-vacuum systems Experience developing electrical systems and data acquisition with Python or LabView Preferred Qualifications: Expertise in planetary
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. Fluent in statistical code in either R, Python, or Matlab. English language (B2 or higher). At least one first-author publication (pre-prints are eligible). Ability to work collaboratively as part of a
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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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instrument programming. Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python. Familiarity with scientific productivity, as demonstrated by publications
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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(electrochemistry, materials synthesis, or characterization) or computational simulations perspective, is required. Proficiency in Python programming is required. Familiarity with REST APIs is desirable. Master’s
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with physics-informed neural networks, automatic differentiation, neural ODEs, or other physics-aware DL techniques. Skill in programming languages such as Python, C/C++, Go, Rust etc. Ability to model
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within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python