249 programming-language-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Nature Careers
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essential. Prior experience in informatics/programming (Python, R) or omics data analysis is not required but a strong interest in developing these skills is highly desirable. Starting salary will follow NIH
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. Proficient written and oral communication skills in English are required, along with the ability to convey complex ideas clearly to both technical and non-technical audiences. On a personal level, you are
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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. This work is part of European Union’s Quantera Program project “MQSens: Quantum Sensing with Nonclassical Mechanical Oscillators”, where opto-/electromechanics is utilized to explore how quantum protocols can
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a social science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program
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to a solid research program with clear project goals and strong support for career development. Key Research Techniques & Models: Mouse models: Knockout, conditional knockout, transgenic, and patient
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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other
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models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large-scale text and
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historical research Fluency in two languages is required (English and French or German); in addition, advanced knowledge in a third language is required Good digital literacy Ability to meet deadlines and
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and