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. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position Overview We are seeking an exceptional and
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other advanced equipment through shared central facilities A vibrant, international community of scientists and collaborators Additional opportunities through TU Dresden’s Graduate Academy and our
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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for application, but they may be required for university admission. Please mention in your application whether your prior education was in English. Knowledge of German is not necessary but we do encourage learning
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involved in teaching at under/postgrad-uate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD
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collaborative partners, it constitutes the leading research hub in north-western Germany. The university is a top performer in many areas of national and international excellence. Its international research
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
and pediatric disease contexts within a collaborative, translational research environment. Work closely across experimental and computational disciplines to iteratively refine study design and translate
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate