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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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degree / PhD Language skills: Excellent command of German and English; ability to teach courses in both languages Desirable skills and qualifications Completed doctoral degree in a discipline within the
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other team members 10% collaborative work, mentoring, and professional development Qualifications Required Qualifications: PhD degree in Chemical Engineering, Chemistry, or closely related field. Proven
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, No UMO-2020/39/I/NZ5/03104, Dissecting cancer activome to develop new generation of antibody-drug conjugates, PI: PhD. Eng. DSc. Marcin Poręba, professor at WUST Type of position: research assistant
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 10:38 (Africa/Abidjan) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job
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, and additional expertise in mechanical testing and materials characterization will be considered a strong advantage. Required Qualifications PhD in Materials Science, Mechanical Engineering, Additive
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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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period of 24 months and is based at Aalborg University’s campus in Aalborg. You will be part of the research group Hydrogen and Electrofuels, which is placed in the section for E specialised in Thermal
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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. Expected starting date: October 2026 Contract duration : 1 year Where to apply E-mail [email protected] Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Skills/Qualifications