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fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant
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experimental ecologists to ensure your models are biologically grounded. Write and publish scientific papers, culminating in your PhD thesis. The team You will be based in the Root Ecology team led by Prof. Dr
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unique contribution adds to the success of our organization. Additional comments For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer
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, and validated outputs to strengthen the competitiveness of the Dutch high-tech sector. The PhD Candidate Position You will be supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden
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of models, code, and validated outputs to strengthen the competitiveness of the Dutch high-tech sector. The PhD Candidate Position You will be supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein
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van Smeden, prof. dr. Jeffrey Beekman and dr. Danya Muilwijk. Where to apply Website https://www.academictransfer.com/en/jobs/355064/phd-position-on-ai-methodology-… Requirements Specific Requirements
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. Together, we are building a culture where everyone's unique contribution adds to the success of our organization. Additional comments For more information about the position, please contact Prof. Dr. Ing
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to Doctoral Candidate 8 – DC08. For more information on the SMARTTTEST project, the recruitment process or details of the position, follow this link for more information. The prospective PhD candidate is
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For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema
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and strong organisational skills. Additional Information Benefits - A challenging PhD position for 4 years (36 hours per week); - An inspiring working environment with room for personal development