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with analysis of large health databases Demonstrated experience with applying advanced machine learning methods to multimodal data Demonstrated strong technical writing skills Experience with grant
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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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laboratory experimentation with advanced characterization techniques and data analysis to study water-rock interactions, crystallization processes and metal immobilization. Main responsibilities include
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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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Austrian Academy of Sciences, The Institute for Habsburg and Balkan Studies (IHB) | Austria | 14 days ago
3 Sep 2026 Job Information Organisation/Company Austrian Academy of Sciences, The Institute for Habsburg and Balkan Studies (IHB) Research Field History Researcher Profile Recognised Researcher (R2
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. This will be accompanied by qualitative analysis of data collected through the project to produce synthetic outcomes on the contribution that mobilities make to our understanding of transformational
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and numerical modelling; · Experimental thermal or fluid systems; · Scientific programming and data analysis. Experience with absorption systems, ammonia–water mixtures, injectors/ejectors or phase
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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research