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Field
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samples, molecular biology analysis of blood cells Cell culture experiments with primary human cells Evaluation of results, including rhythm analysis in time series and omics data Preparation
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
of marine biogeochemistry, marine geosciences, marine (micro)biology and (paleo)climatology. The cluster offers a versatile qualification program in which doctoral researchers can strengthen their
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The Fraunhofer IEE in Kassel conducts research in the fields of energy economics and energy system technology, focusing on: energy informatics, energy meteorology and geoinformation systems, energy
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Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
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Teaching. The professor-ship should make a substantial contribution to teaching in the Master’s program in Marine Bi-ology. Supportive involvement in teaching related to nature and species conservation is
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information technology study background with high interest in technical applications (computer science, computational linguistics) Experience in LCA Fluent written and spoken English Our Offer: We work on the very latest
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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History 75 years Max Planck Society Max Planck Society Kaiser Wilhelm Society Researching and processing the past Max Planck - Revolutionary against his will Women Science Pioneers Conflict Management
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present your results to our group and, optionally, summarize them in your final thesis What you bring to the table You are studying process engineering, chemical engineering or a similar degree program. You
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems