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Field
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. The applicant will join an NIH-funded lab to engage in basic and translational neuroscience research. The laboratory uses in vivo 2-photon imaging, electrophysiology and optogenetic approaches to better
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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a related field Experience with radiation transport codes (e.g., FLUKA, Geant4, MCNP etc.) Excellent programming and data analysis skills (e.g., Python, C++, or similar) Solid understanding
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inclusion Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code
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(with a focus on electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems
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immunofluorescence and antibody validation Immunofluorescence staining of tissues, microscopy, image analysis Contribute to general lab tasks Maintaining accurate and detailed records of experiments Basic
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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or other code repository Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged
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-level programming, developing prototype implementations, and evaluating their research in testbed experiments. An interest in generating real-world impact and collaborating with the industry. Excellent
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, radioactive substances and non-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011). Dietetics