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the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and
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measurements. The project aims to improve the energy efficiency of heat treatments in the aluminum industry through intelligent sensor technology.
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implement algorithms for image processing and analysis of multisensor data (RGB, LiDAR, hyperspectral). Design and implement explainable AI (XAI) models for the detection and quantification of grape berry
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electromagnetics - excellent knowledge in the field of magnetic material characterization (Epstein frame and rotational single sheet tester) - Interest in algorithm development and interest to work in programming
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academic academic achievements, especially first publications in the field of explainable AI with a focus on understanding algorithms by various stakeholders, especially at ACM FAccT, ACM AIES, International
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academic academic achievements, especially first publications in the field of explainable AI with a focus on understanding algorithms by various stakeholders, especially at ACM FAccT, ACM AIES, International
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scientific support for a pilot project on autism screening as part of parent-child checkups at the age of 2, referral for diagnosis, and transition to early therapy. In the second project, algorithms
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should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
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Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High
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including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High level of both spoken and written English (official certificate not required) High interest