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Field
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Motivation, in the Faculty of Mathematics and Natural Sciences, there is a job vacancy that is, subject to budgetary regulations, available at the earliest possible date, for a full-time Teaching and Research
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 23 days ago
techniques, modern sequencing technologies and bioinformatics and statistics Knowledge in programming (e.g. with R, Python, Pearl) and mathematical modelling with special focus on the field of microbial
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scientific publications Your qualification profile Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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Professorship (W3) for Informatics with a Focus on Data Science Institution: Faculty of Mathematics, Informatics and Natural Sciences Commencement of duties: Summer Semester 2025 Application
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 24 days ago
and statistics Knowledge in programming (e.g. with R, Python, Pearl) and mathematical modelling with special focus on the field of microbial ecology is desirable Strong interest in interdisciplinary
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degree in (Bio-)Statistics, Mathematics, Computer Science, Epidemiology, or a related field Minimum 2 years of experience in data analyses using frequentist and Bayesian approaches. Experience in handling
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building mathematical surrogate models of various coupled multidomain components and subsystems for vehicle systems. These components will be built into a larger surrogate model that can be used to simulate
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 24 days ago
completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound knowledge in the field of machine learning, in particular deep
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methods to build a classifier based on mRNA and WES profiles Your profile: PhD / PostDoc applicants should hold a MSc/PhD in computer science, physics, mathematics or a related discipline strong Knowledge