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biology. This project builds on a key experimental barrier that we have overcome, enabling the rapid generation of high-impact structural data on bacterial secretion systems. Where to apply Website https
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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communication skills in English ‒ Good interpersonal skills and team spirit ‒ Strong interest in interdisciplinary research bridging computer science and biology Website for additional job details https
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scientific publications. Desired skills: - PhD in soil science / microbial and/or viral ecology - Molecular biology - Experiments in soil mesocosms and/or microcosms - Strong knowledge of statistics - Ability
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited person will be responsible for developing a protocol to detect
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through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description This work is a continuation of an ERC project
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The BISE team (Isotopic and Experimental Biogeochemistry) at the Institut
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
sciences » Biological engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria The successful candidate must hold a PhD in molecular biology, medicinal chemistry, or a related
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website