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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 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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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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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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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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to adapt to the research environments while being full members of two labs Desirable skills Experience with Spectral flow cytometry Experience with myeloid cells biology basic/intermediate programming
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research and develop novel electrochemical sensing strategies for nucleic acid detection. You will develop new research projects according to the strategic plan of the research group A-PECS and you compete
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player