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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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the Helmholtz-Zentrum Dresden-RossendorfHZDR a project position as Research Associate / PhD Student (m/f/x) in Accelerator Mass Spectrometry (AMS) (subject to personal qualification employees are remunerated
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
Your Job: The Electrocatalysis research department (https://www.hi-ern.de/hi-ern/Electrocatalysis) is looking for three PhD students, which research area is to investigate fundamental relationships
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, giving rise to complex lesions. GSI is working on the quantification of such complex lesions in particular in dependence on radiation type. Within this program, the GSI biophysics department offers a PhD
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data