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PhD Studentship

Post Summary The successful applicant will undertake a PhD project which is funded by the Trinity Research Doctorate Awards. Project description: Though dyslexia is one of the most common learning

This exciting fully funded PhD , sponsored by EPSRC CDT Water Infrastructure and Resilience II (WIRe II), offers an enhanced stipend of £24,000 per annum with all fees covered. The project, titled

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PhD -student

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Academic PhD Researcher

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PhD 3D Super-resolution microscopy

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Aero-Engine Experimental Aerodynamics PhD

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Interdisciplinary PhD Positions

PhD student Posted on Dec 19, 2023

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Heidelberg University , Heidelberg, Germany

Description

Several Interdisciplinary PhD Positions (f/m/d) at Heidelberg University

The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences HGS MathComp at Heidelberg University is one of the leading graduate schools in Germany focusing on the complex topic of Scientific Computing. Located in a vibrant research environment, the school offers a structured interdisciplinary education for PhD students. HGS MathComp has 5 open PhD positions in the general research areas of Mathematics, Computer Science, Physics, Biology, Chemistry, and Life Sciences.

Scope and duration of the PhD positions: (Please note additional or deviating information in the project listings below)

• Three-year contract
• Salary according to TV-L E13 level
• Faculty/department affiliation according to research group
• Start: 01 April 2024

Your tasks include:

• Successful completion of your dissertation.
• Involvement in high-quality research, with the aim of publication in international journals and at international conferences.
• Involvement in the organization of academic events, such as talks, workshops/conferences, and summer schools.
• Teaching and supervision of Bachelor’s and Master’s students.
• Participation in HGS MathComp training and networking activities.

Requirements:

• Above-average M.Sc. degree or equivalent (recognized in Germany)
• Excellent command of English
• Others as specified below

How to apply: see bottom of page!

PhD positions are available for the following PhD project topics and areas:

Data Science & Machine learning in the Life Sciences

• Research group: Biological Data Science
• PhD supervisor: Britta Velten
• Percentage of the position: 75%
• Start: 01 April 2024, or by mutual agreement
• Good level of expertise in programming, data analysis, statistics and/or machine learning, plus motivation for biological applications is required.
• Contact person for content questions: Britta Velten

Machine Learning and Astrophysics, Modelling dynamical systems with deep Operator Learning and NeuralODEs

• Research group: AstroAI-Lab
• PhD supervisor: Tobias Buck
• Contract duration: 3 years, extension for a further year possible
• Percentage of the position: 66-75%, depending on candidate profile
• Start: spring to fall 2024
• Prior knowledge in ML is needed, knowledge of dynamical systems, ODEs, PDEs, SDEs will be a plus. Good coding skills, both in python and C/C++ are required. Some astrophysics background would be beneficial but is not mandatory. Knowing JAX would be helpful.
• Contact person for content questions: Tobias Buck

Traction force microscopy for biological cells in three dimensions 

• Research Group: Physics of Complex Biosystems
• PhD supervisor: Ulrich Schwarz
• Start: open immediately
• A background in continuum mechanics, inverse problems and machine learning would be helpful. This project is funded by the excellence cluster 3DMM2O.
• Contact person for content questions: Ulrich Schwarz

Machine-learning approaches for modelling tumor cell plasticity and therapy resistance in brain tumors

• Research group: Biomedical Genomics Group @ IPMB
• PhD supervisor: Carl Herrmann
• Start: April 2024 or later, to be discussed
• Strong experience in machine-learning/deep-learning is required. Knowledge in molecular/cellular biology would be a plus.
• Contact person for content questions: Carl Herrmann  

Deep learning-based spectral image analysis enabled by synthetic data

• Research group: Division of Intelligent Medical Systems
• PhD supervisor: Lena Maier-Hein
• Percentage of the position: 100%
• Start: February 2024
• Advanced programming skills (Python), advanced math skills, experience in deep learning, good communication skills.
• Contact person for content questions: Lena Maier-Hein  

Required documents (in ONE PDF file):

• Letter of motivation
• Most recent or final transcript of records
• Names and contact information of three references

All documents must be uploaded as one PDF via our application portal .

Deadline for applications: January 15, 2024

There will be interviews between the group leaders and potential candidates to discuss the specifics of the respective positions.

If you have any technical questions, please contact [email protected] . Please note that applications will only be accepted via the application portal, not via email.

Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market.

How to apply

Application webpage: https://forms.office.com/e/xhDPAWwDif

Application deadline: Monday, 15 January 2024 (in 0 minutes).

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The Unique Burial of a Child of Early Scythian Time at the Cemetery of Saryg-Bulun (Tuva)

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Pages:  379-406

In 1988, the Tuvan Archaeological Expedition (led by M. E. Kilunovskaya and V. A. Semenov) discovered a unique burial of the early Iron Age at Saryg-Bulun in Central Tuva. There are two burial mounds of the Aldy-Bel culture dated by 7th century BC. Within the barrows, which adjoined one another, forming a figure-of-eight, there were discovered 7 burials, from which a representative collection of artifacts was recovered. Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather headdress painted with red pigment and a coat, sewn from jerboa fur. The coat was belted with a leather belt with bronze ornaments and buckles. Besides that, a leather quiver with arrows with the shafts decorated with painted ornaments, fully preserved battle pick and a bow were buried in the coffin. Unexpectedly, the full-genomic analysis, showed that the individual was female. This fact opens a new aspect in the study of the social history of the Scythian society and perhaps brings us back to the myth of the Amazons, discussed by Herodotus. Of course, this discovery is unique in its preservation for the Scythian culture of Tuva and requires careful study and conservation.

Keywords: Tuva, Early Iron Age, early Scythian period, Aldy-Bel culture, barrow, burial in the coffin, mummy, full genome sequencing, aDNA

Information about authors: Marina Kilunovskaya (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Vladimir Semenov (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Varvara Busova  (Moscow, Russian Federation).  (Saint Petersburg, Russian Federation). Institute for the History of Material Culture of the Russian Academy of Sciences.  Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail:  [email protected] Kharis Mustafin  (Moscow, Russian Federation). Candidate of Technical Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Irina Alborova  (Moscow, Russian Federation). Candidate of Biological Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Alina Matzvai  (Moscow, Russian Federation). Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected]

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