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Field
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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flight dynamics and mission-based performance analysis. o Programming skills in Python, C++, or equivalent for simulation preprocessing/postprocessing. o (Desirable) Exposure to reduced-order
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute