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Field
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, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology
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cancer genomics and functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC
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frameworks commonly used in ML research, such as Python, PyTorch, TensorFlow, and mobile development environments (e.g., Android Studio or Swift/Xcode). Demonstrated ability to conduct independent research, as
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conferences. Ability to work well in a team, and collaborate with other research groups. Production of photonic layouts using gdsfactory. Knowledgeable in MATLAB and Python is necessary. Knowledgeable in Ansys
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work
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, software development, handling of biological samples and their preparation is required. Proficiency with microscopy, particularly FLIM and TPM, is highly desirable. Skills in coding (Matlab, Python, and
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background and experience with languages and frameworks such as Matlab, Python, NumPy/SciPy, Pytorch/TensorFlow/Jax. Application Instructions Please apply at https://apply.interfolio.com/158104 . Applicants