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analysis. - Adapt the team's existing data analysis protocols as needed. Expertise in coding (Python, ImageJ) would be a plus. - Be able to communicate research results, whether within the team
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holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be
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design and printing. • Metamaterial design and analysis, preferably with strong expertise in COMSOL Multiphysics. • Strong programming experience: C++, Matlab, Mathematica, Python. • Publications
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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bioinformatics, particularly single‑cell RNA‑seq, multi‑omics, and spatial transcriptomics analysis. Specific Requirements Proficiency in Python and R; familiarity with common bioinformatics tools and pipelines
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or equivalent Skills/Qualifications - Conocimientos demostrables de Python, Matlab, SageMath y MySQL. Nivel avanzado Specific Requirements - Máster en matemáticas y/o ingeniería computacional - Doctorado en
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and Python Solid background in genomics Prior experience in DNA sequencing and cancer genetics is strongly preferred but not exclusively required as training will be available. Qualifications Education
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral