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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101225682 Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the position University
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 25 days ago
21 Aug 2025 Job Information Organisation/Company Leibniz-Institute for Plant Genetics and Crop Plant Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Other
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· developong new genetic algorithms related to finite element (FE) modeling · presentation of results and their disseminatio The successful candidates must be enrolled in PhD School program
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component modeling and testing. Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Demonstrated research capability and
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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genetics. With guidance and supervision from both experimental and computational perspectives, this program is ideal for graduates in fields such as molecular biology, biochemistry, mathematics
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control