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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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, synapse density, and neuronal network formation. The PhD thesis work will be supervised by Prof. Obermair and will be conducted within the PhD program Mental Health and Neuroscience (https://www.kl.ac.at/en
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memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
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subsidiarity. Work environment The recruited person will carry out their activities within the Process-Structure-Functionality (PSF) team of the Joint Research Unit Science and Technology of Milk and Eggs (UMR
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: Statute of the Scientific Research Grant Holder, approved by Law No. 40/2004, of August 18, in its current wording; FCT, I.P. Research Grant Regulations, in force (https://www.fct.pt/wp-content/uploads/2026
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of the PhD project and enroll in ULB's doctoral programme, where they will receive advanced research training and professional development opportunities. Excellent command of English, both written and spoken
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). The PhD student will be strongly involved in all aspects of the project (18 person-months for the coordinator and 36 person-months dedicated to the PhD student over the project duration), with cross-cutting
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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supervising Bachelor's and Master's students where appropriate. Where to apply Website https://www.academictransfer.com/en/jobs/363887/phd-position-in-systems-and-con… Requirements Specific Requirements We
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disciplines. Where to apply Website https://www.academictransfer.com/en/jobs/363891/phd-in-adapative-regulatory-fra… Requirements Specific Requirements You are a connector; that is, you gain energy from