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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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tasks Conducting feeding trials on functional feed with juvenile trout (Bremerhaven) RT-QPCR analysis of target genes, histology Presentation of research results Publication of results in international
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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organization and analysis. Qualification and skills Candidates should have good communication skills and motivation to familiarize themselves with new subject areas. The role requires both independent work and
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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expertise in high-performance computing and we also use unique scientific infrastructure. Shape the change with us and join our team! HITEC (Helmholtz Interdisciplinary Doctoral Training in Energy and Climate
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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antibiotic access barriers and the analysis of incentives for the development and adoption of new antibiotics. The candidate is expected to produce a cumulative doctoral dissertation within that project
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer