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of Science, Mathematics, Computer Science, or a closely related field. Demonstrated computational expertise (e.g., Python, network analysis, data wrangling). A research profile that engages with questions
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: Position 1: Postdoctoral Associate – Software Engineering & Technical Development Proficiency in Python, geospatial libraries, API design (e.g., FastAPI), and cloud/HPC environments. Experience with
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). Experience with cell line immortalization and validation. Competency in data analysis (R/Python/GraphPad), and version-controlled workflows. Evidence of mentorship, leadership, and effective cross-functional
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: Proficient in Python. Machine Learning: Strong experience with frameworks like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients
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components. • Experience with scientific programming or scripting languages such as Python, Fortran, C/C++, or similar, for simulation automation, data processing, or workflow integration. Desired
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: C++, Python, Matlab, R. ● Building analytical pipelines that include image processing, image registration, auto-segmentation, feature extraction, pathomics, and radiomic analysis ● Proficiency
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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(PhD or equivalent) (by the start date Strong methodological training (quantitative, computational) and proficiency in programming languages such as R and Python. Excellent written and verbal