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Field
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bold and important questions in relevant thematic areas, including but not restricted to: integrative structural biology, whole-cell modelling and/or ML/AI-driven approaches to model macromolecular
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-Checking, Argument Mining, Automated Planning, and Decision-Making. Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise. Software Engineering
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optimization of molecular biological assays (e.g., LAMP, qPCR) Establishment and use of cell culture models Sample preparation (e.g., cell lysis, adaptation to amplification methods, as well as quantification
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to the the Genome Biology Unit at EMBL, a research department composed of ~10 independent research groups, using and developing genomics methods to decode and model complex biological processes—from single-cell
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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Germany (so-called 'sandwich model'). Your project must be agreed with both supervisors according to the following procedure: You start your doctoral degree in your home country. This is followed by
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environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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microscopy. Root architectural phenotyping. Plant and root physiological measurements to determine the function of root phenotypes. Functional-structural plant modeling to determine the benefit of root
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of FPGA designs, including timing analysis, code coverage and coding rule checks Support FPGA integration on target hardware Create design documentation in compliance with internal and external normative