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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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facilities and training in advanced techniques. Opportunities for career development, networking, and mentorship. Support for presenting at international conferences and publishing in peer-reviewed
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translational cancer research. Omics based strategies, such as (epi-)genomics and transcriptomics, are opening unprecedented potential for developing novel precision oncology tools for improved diagnosis
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adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
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differentiation, shaping the overall course of plant development. Importantly, the synergy and interdependence of hormone signalling pathways are critical for driving cell cycle progression. These coordinated
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looking for a dynamic and highly motivated PhD student. Research topic Whereas mutations are the driving force for adaptive evolution, many genetic alterations exert negative fitness effects. The effect
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approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis-regulatory mechanisms underlying
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership