61 parallel-computing-numerical-methods-"Multiple" positions at Heidelberg University
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of
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tasks and seminars, training of new group members in laboratory techniques) Independent work ethic and desire to learn new methods and protocols Basic R computer programming skills Basic software skills
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26209 Postdoc / Bioinformatician – Computational Multi-Omics for Precision Oncology (m/f/d
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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Heidelberg University is accepting applications for anInterdisciplinary Assistant Professor in Natural Sciences. Programs in biochemistry, biology, chemistry, computer science, data analytics
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comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers, it is a globally respected institution
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/accommodation program in an academic environment Ability to work both independently as well as cooperatively in a team setting. Exceptional self-motivation, integrity, and creativity. Ability to manage multiple
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reviewing faculty submissions, contacting students, and facilitating connections to appropriate support resources Continuously assess program offerings through data collection and analysis. Make data-informed