177 web-development "https:" "https:" "https:" "Newcastle University" PhD positions in Belgium
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social security law in its relation to national competition law and EU internal market rules. The candidate is supposed to prepare a decent research proposal as well as to prepare a doctoral thesis on the
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(degree obtained with honours). S/he has a very good command of spoken and written French and English. S/he must display excellent teaching skills. S/he will commit to develop an original research programme
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Description Function We are looking for one highly motivated PhD candidate with a master's thesis in cell biology, molecular biology, neurosciences or genetics to join our research group in the Development
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environments (preferred). You possess the ability to conduct independent research and develop novel algorithms. You have strong analytical and problem-solving skills. You have a research-oriented mindset and
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within a Research Infrastructure? No Offer Description PhD Position — The European Epitranscriptomics of Cancer Academy (EURECA) Network https://eureca-dn.com/ EURECA is a Marie Skłodowska-Curie Actions
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will remain confidential. More details on gender and diversity policies are available at: https://www.ulb.be/fr/l-ulb-s-engage/diversites Work Location(s) Number of offers available2Company/InstituteULB
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@kuleuven.be or Prof. dr. Frank Verbruggen, mail: frank.verbruggen@kuleuven.be.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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application, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60637164?hl=en Requirements Research FieldJuridical sciencesEducation LevelMaster
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic