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laboratory, saving time and money. To this end, novel equipment allows testing and the collection of experimental data. To support this goal, we are looking for a colleague who is independent, who thrives
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within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete
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scale in the laboratory, saving time and money. To this end, novel equipment allows testing and the collection of experimental data. To support this goal, we are looking for a colleague who is independent
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will work with cutting-edge SOE concepts, collaborate with leading industrial and academic partners, and help shape technologies essential for large-scale renewable energy storage and conversion
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aspects of drug use, effect, and safety. The group is highly recognized within pharmacoepidemiology and has a very large international network. Furthermore, we collaborate extensively with the rest
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for working within an interdisciplinary research team Strong analytical skills and ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but
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Job Description Student assistant – Communication SDU Center for Large Structure Production is seeking a student assistant to support the team with text production for websites and SoMe. In this
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying
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, genomics, or a related discipline. A strong computational background with expertise in analyzing large-scale datasets (e.g., single-cell RNA-seq, genomic, or multi-omics data). Proficiency in programming
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systems Data-driven and hybrid modeling approaches for large-scale, stochastic systems Applied AI in industrial, environmental, or public domains, integrating diverse datasets for real-world problem-solving