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PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
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highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable
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profile You are a highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, Chemical-, Environmental or Electrical engineering (or related field such as energy economics). You
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Machine Learning modeling and optimization Generative AI modeling (closed-loop AI tools, or related AI-tools) Design of molecular binders Interest in mentoring MSc students and helping coordinate with
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. Job requirements General Requirements: MPhil or Research Master’s degree in Economics, Econometrics, Mathematics or Physics is preferred Candidates with an MSc or MA degree are required to successfully
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will be provided): Either an excellent undergraduate degree or an MSc/MRes in Chemistry. Experience in materials synthesis, computational modelling and/or electrochemistry. Familiarity with analytical
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criteria Academically relevant background within marine technology and cybernetics, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. Master's
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, education, mathematics, and physics—to address two fundamental questions: How did life emerge on Earth? And how likely are similar conditions elsewhere in the universe? PRELIFE takes a highly
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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i.e. turning towards in-line production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical