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About the Lab The lab of Jeroen Raes (VIB, KU Leuven) is home to a vibrant, dynamic and international group of researchers in the field of gut microbial ecology and its clinical applications
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Networks, and ICT Services & Applications. The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite communications
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging
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host institution. Applicants who are not eligible to submit a FWO post-doc application will not be taken into consideration. What we offer Scientific development opportunities in an international
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-friendly biosensors. The main focus will be on amplified singlet oxygen-based photoelectrochemistry to detect nucleic acid-based biomarkers in healthcare applications (e.g. cancer diagnosis and infectious
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relations and in interaction with organizations, to gain insight into computer-mediated communication, its applications and effects, and to pursue evidence-based communication strategies, instruments and
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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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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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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