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-time position after obtaining PhD. A holiday allowance of 8% gross annual income. An 8.3% end-of-the-year allowance. A temporary contract of 0.8 FTE for 12 months. Preferred start date: 1 September 2025
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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– its meaning and potential future risks and benefits resulting from changes of this system. Inventorizing its multiple functions, actors and users of the port water system, she/he/they will place these
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emerging autonomous vehicles. The whole project encompasses a broad spectrum of academic, industrial and societal partners and includes a large group or researchers. The postdoc position will advance state
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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Apply now We are offering a full-time, three-year Postdoc position as part of the Dutch Research Council external link (NWO) ENW-XL programme. You will join the Levato research group at the Regenerative