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dynamics of BLA to PFC connectivity and function; (2) identifying the molecular programs during critical developmental windows that influence BLA to PFC connectivity; (3) investigating the plasticity and
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
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Excellent communication skills in English Desirable but not required Skills in phytoplankton genetic engineering Hands-on experience with high resolution mass spectrometers and/or data analysis Programming
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, this project could be a perfect fit for you. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with
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. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with the best profile (project proposal & CV
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-of-the-art tools and infrastructure. Various training opportunities are organized at VIB to broaden your expertise and skills. Tentative start date: 1 November 2025 Submit your application through the VIB
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, associations, NGOs … How to apply Applications should include: A copy of the PhD diploma or a letter indicating the expected defence date A detailed curriculum vitae with a complete bibliography of published
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, this project could be a perfect fit for you. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with
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or senior postdoctoral fellowship and MSCA application are invited to apply. Eligibility for ERC postdocs will be taken favorably into account. The top ranked candidate(s) with the best profile (project
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why