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PhD degree is required. Develop protocols for real-time phenotyping of NUE-related traits using the TraitFinder phenotyping system. Build and validate digital twin models using 3D point cloud and
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essential. Most importantly, the candidate should be curiosity driven and willing to constantly learn new things! Qualification: PhD degree in Computer Science, Informatics, or Software Engineering obtained
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 5 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Offer
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academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
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» Computational chemistry Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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/postdoc-position-crop-genomics-… Requirements Specific Requirements Essential Qualifications You hold a PhD degree in Bioinformatics, Computational Biology, Plant Genomics or a related field. You possess
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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering