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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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cellular neurophysiology or related fields Experience in patch clamp-based electrophysiological recording from native neurons Expertise in programming with Python and R Experience with programming
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. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud based development). Effective interpersonal skills
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing
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an environment with significant trust and accountability. Preferred Skills, Knowledge and Abilities: Advanced skills with Tableau, Python, R, and other statistical packages; Expert level knowledge of Asana
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation