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these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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-Zehnder modulators). Through applying a strong foundation in physics and engineering, you will design devices taking into account electrical, RF, thermal, and optical considerations. Key optimization
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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of Internet infrastructure by developing autonomous systems that can self-organize, self-optimize, and self-heal across heterogeneous environments. You will tackle fundamental challenges at the intersection
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 3 months ago
for understanding the drivers of optimal soil functionality. Developing new analytical methods is necessary to better assess and exploit these functions. Particular attention should be given to the soil microbiome
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 3 months ago
Designing tailor-made soil amendments is a promising approach to steering and optimizing soil microbiomes and soil functions. These amendments should preferably be derived from renewable and circular sources
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you Wageningen University & Research offers excellent employment conditions. Highlights from our collective labour agreement (CAO) include: Flexible working hours in consultation, enabling optimal work
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. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project