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/programmes/all-programmes/master-film-studies-visual-culture/study-programme/ You will work as media and project manager for the ERC project, https://www.uantwerpen.be/en/projects/reworkchange/ (10% FTE) You
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones
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the capacity to independently plan and execute research with precision. A keen interest in nanobodies, drug delivery, and/or brain barriers is essential, accompanied by hands-on experience in molecular biology
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lab is interested in the developmental programs that shape inhibitory circuits in the brain. Specifically, we are interested in how distinct populations of inhibitory neurons are generated, how
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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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background Programming skills in MATLAB and/or Python Good writing and oral presentation skills Eligibility requirements of MSCA: Research experience: Maximum of 8 years from the award of first PhD. N.B
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programming languages including bash scripting, MATLAB, C/C++, Golang, and Python Working knowledge of free5GC/OpenAirInterface/srsRAN open-source software stack. Practice in other open-source mobile network
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. Be sure to include the following attachments: a motivation letter your academic CV a concise research plan based on the project theme (max. 1500 words) The selection committee reviews all applications
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Programme. Contact the EU-team to get help to assess your eligibility on a personal basis. Funding The grant provides an allowance to cover living, travel and family costs. In addition, the EU contributes
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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