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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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into electricity through innovative thermoelectric generators (TEGs) that perform efficiently even under small temperature differences (ΔT ≤ 30 K), we aim to redefine how IoT devices are powered. This research has
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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co-culture and incubation experiments Perform sample analyses using the tools listed above Carry out computational data analyses Prepare manuscripts for submission to peer-reviewed journals We
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Office, Linux proficient in dealing with operating systems and high-performance computing facilities We expect: the ability to work independently and on your own initiative a methodical and systematic
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for carbohydrate analysis using ion chromatography (e.g. HPIC, HPAEC-PAD, LC-MS) and preparative column chromatography Planning and carrying out sampling as part of field campaigns Independent performance
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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
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international researchers and industrial partners. A unique opportunity to research next-generation batteries. Strong support to perform high-quality research and to present and publish your research results
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to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
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on the research group/work area: As a biology/chemistry laboratory assistant (m/f/d) you will support the Program Center for Plant Metabolomics and Computational Biochemistry MetaCom established in 2023. We deal