Duties: Envision, plan, and execute research strategies in collaboration with other cross-functional stakeholders; Drive the development of innovative algorithms on ultra-deep sequencing data; Lead a team of Bioinformatics Scientists and support their professional growth; Foster a culture of innovation, collaboration, and scientific excellence; Work closely with interdisciplinary teams including engineering, biostats, and molecular biology teams to support the development of new products; Contribute to experimental design and ensure data integrity and quality control
Requirements: PhD in Bioinformatics, Computer Science, Mathematics, Engineering, Biostatistics, or related field; Minimum of 6-8 years of working in the bioinformatics field and extensive managerial and cross-functional experience; Track-record of leading and developing state-of-the-art and highly impactful computational methods; Highly experienced in algorithm development, data analysis, and machine learning; Experience with multiplex PCR and hybrid capture data

Duties: Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications; Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures; Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm); Conducts data‐driven and hypothesis-directed genomics research; Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications; May supervise junior informatics staff; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements: Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline; Minimum of 0-2 years experience required; Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language); Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language)

Workload: 100%
Duties: Review of Mechanical Completion (MC) requirements and specifications defined by the project specific PO; Coordinate all project MC inspection activities including internal and external MC activities; Provide technical support throughout the construction activities, leading up to and during the manufacturing stage until the package is mechanically complete; Mark-up P&IDs for different pipe classes and produce the pipe test packs, to be added to the project specific PCD; Create, issue and maintain the flange management drawings, to be added to the project specific PCD; Perform all work related to the completion of the MCCR's as defined in the project specific MC procedures and specifications
Requirements: Engineering apprentice or experience; Good computer skills; Rotating equipment or similar package experience; HNC/Equivalent in Mechanical and/or Electrical Engineering; Relevant experience within related industry including knowledge of industry practices & standards; Experience of managing large and complex packages

Duties: Develop theory and optimization techniques for tackling noise and missing data for improved subtomogram resolution; Develop algorithms for automated marker-less alignment of X-ray and electron tomography data; Develop new data-driven methods that leverage physics-informed machine learning for reconstructing non-rigid deformations and generative modeling of conformational heterogeneity in electron tomography; Apply these new algorithms to enable high-resolution 3D reconstructions of biomolecules from cellular tomographic data; Publish scientific papers in high-impact journals and present findings at seminars and conferences; Maintain documentation of theory, derivations, and results
Requirements: A recent Ph.D. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline; Experience developing numerical methods for solving inverse problems in imaging including but not limited to phase retrieval, iterative reconstruction for tomography, and regularization techniques; Experience with generative models, variational inference, and physics informed machine learning; Strong background in scientific computing including coding experience in C++, Fortran, and Python; Knowledge of physics and mathematics of X-ray and electron microscopy

Duties: Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases. As a trailblazer in the biotech sector and bolstered by our status as a publicly traded entity, our ambition is to craft a comprehensive bio-computing infrastructure. This endeavor aims to harness the vast potential of extensive clinical datasets alongside AI, paving the way from diagnostic breakthroughs to therapeutic innovations. The role of the Associate Vice President of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors. In this capacity, you will orchestrate a team of exceptional bioinformaticians and biostatisticians, steering efforts in target identification, biomarker unveiling, and patient stratification
Requirements: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field; At least 8 years of post-graduate experience in bioinformatics or computational biology, with a proven track record in the biotechnology or pharmaceutical industry; Proficiency in the analysis of large-scale biological data sets, including but not limited to genomic, transcriptomic, proteomic, and metabolomic data

Duties: Design, develop and deploy reproducible data pipelines using cloud-native tools. All our pipelines use infrastructure as code, have automated tests and are as re-usable and reproducible as possible; Connect with collaborators (scientists, project managers, etc.) to translate their needs and questions into technical requirements. We then use the requirements to build data pipelines and visualizations that are meaningful, comprehensible, and practical for them; Every data engineer has projects to lead and others in which there are only smaller contributions; Generate comprehensive documentation of the data products developed, both for technical and non-technical users; Promote good (coding/data) practices and lead by example
Requirements: MS/PhD or equivalent experience in Computer Science, Bioinformatics, or related field; 3+ years of demonstrated working experience as a data engineer; Experience with data pipeline design and creation is a must. The pipelines should use good coding practices and the right tool for the job. Experience with ETL jobs (e.g. AWS Glue, Databricks jobs, AWS Lambda) and orchestrators (e.g. AWS StepFunctions) is desirable; Solid experience in database design (partitions, schemas, choosing database type, etc.) and querying languages (SQL, pyspark or similar) is a requirement. Experience with delta lake (delta tables) is a plus

Duties: The Department of Mathematics and Computer Sciences at Berry College invites applications for a full-time lecturer position in Mathematics to begin in August 2024
Requirements: Applicants must hold a Ph.D. in mathematics or a closely related field. Applicants who are ABD should include documentation that the requirements for the degree will be completed by August 2024

Duties: We are seeking outstanding, creative researchers with the skills to explore the new physics of interactions between topologically structured light and structured matter emerging at nano- and picometre scales, with a view towards the development of disruptive light-enabled technologies
Requirements: You will hold a PhD or equivalent qualification in Physics or another subject relevant to the field of optics/photonics, and proven experience in experimental optics/photonics research. Well organised and driven, you will demonstrate initiative and problem-solving skills, and strong powers of communication, alongside a collaborative approach. Prior experience in computational modelling, the application of machine learning, and development of precise optical experiments and instrumentation will be advantageous

Duties: The research project concerns inducing chemical changes in solutions of organic compounds by impact of free electrons on these. The solutions will be in the form of liquid microjets in vacuum. The researcher will be responsible for development and practical implementation of the experiments, and for the analysis of the induced changes and chemical modifications. The position is initially open for six months with a possibility of prolongation
Requirements: Competence in organic synthesis, photochemical and analytical techniques. Especially desirable is hands-on experience with UV-VIS spectroscopy, fluorescence spectroscopy and HPLC-MS. Experience with nucleic acid self-assembling nanostructures is an advantage

Duration: temporary
Duties: Research in this area, has as its object the study of physical systems, mainly solid state, whose structural characteristics have specifications relevant to the nanoscales (from 1000 to 1 nanometer). Nanostructured materials, reduced-dimensional materials (2D, 1D, 0D) and nanodevices, are part of this class of systems. In the nanodevices sector, of particular interest are devices designed for energy transformation (energy harvesting), for information processing (ICT devices) and for advanced sensing. The study and characterization of nanostructured materials includes the characterization of mechanical, electrical, magnetic, piezoelectric and piezoresistive properties
Requirements: PhD or equivalent in Physics

Duties: Electrochemistry deals with the study of chemical processes that involve the movements of electrons. It explores the relationship between electricity and chemical reactions, particularly focusing on how electrical energy can be used to induce or drive chemical changes, and conversely, how chemical reactions can generate electricity. Electrochemical phenomena are pervasive in various fields, from batteries and fuel cells powering our devices and vehicles to corrosion processes and production of chemical products and metals in electrolytic processes. Electrochemistry thus plays a vital role in environmental science, materials science, and energy conversion technologies, making it a fundamental area of study with diverse applications
Requirements: Experience of postdoctoral research in a research environment other than the university at which the applicant obtained his/her PhD degree; Extensive experience of fundamental electrochemical measurements and interpretation; Scientific expertise demonstrated through scientific publications in the research area of electrochemistry; Very good oral and written proficiency in English

Duties: Develop novel algorithms and methodologies for 3D tomographic reconstruction and inverse scattering analysis; Performing optical tomography setup simulation and modeling each of its optical components utilizing optical system design software like Zemax, OSLO, etc; Characterization of 5D-QUIP optical tomography; Analyze and interpret experimental data to draw meaningful conclusions and insights; Create procedural workflows for system control and develop image analysis routines using Python and Java; Benchmark the image quality, resolution, and penetration depth of the optical tomography system
Requirements: This position requires a master’s degree or equivalent in physics, a background in optics/optical engineering/computational optics and an interest in bio-imaging; Background in computational optics; Experience in optical tomographic reconstruction and inverse scattering analysis algorithms; Background in image analysis, and optics simulations; Experience in optical microscopy and tomography

Duties: Development of nanofabrication processes in the NTNU Nanolab cleanroom; Photonic chip design, manufacturing, and optical testing; Collaborate with an international network of scientific partners; Report research findings in international conferences and scientific articles; Take part in the Electronic and Telecommunications PhD program and fulfill the requirements for a PhD degree
Requirements: The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in photonics, materials science, physics, electrical engineering, or nanotechnology (and other revelant disciplines) with focus on photonics

Duties: Since 1987, Generali Switzerland has been a trustworthy lifetime partner for our customers. We have more around one million customers and offer products for every situation in life. These include property insurance, legal expenses insurance, life insurance and pension solutions. In founding the House of Insurtech Switzerland (HITS), Generali Switzerland is focusing on corp-ups to scale up the integration of knowledge. HITS partners with corporations and start-ups to develop innovative solutions
Requirements: Generali posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duration: 6 y
Duties: Forschung im Bereich der Angewandten Mathematik mit Schwerpunkt Analysis, Numerik und algorithmischer Lösung von Aufgabenstellungen in der mathematischen Bildverarbeitung, den Inversen Problemen und den Datenwissenschaften; Mitarbeit in interdisziplinären Kooperationsprojekten und FWF/EU-geförderten Drittmittelprojekten; Selbstständige Durchführung von Lehrveranstaltungen im Bereich der Angewandten Mathematik, Betreuung von Studierenden und Abhaltung von Prüfungen; Mitwirkung bei Organisations- und Verwaltungsaufgaben
Requirements: Abgeschlossenes Doktoratsstudium einer mathematischen Studienrichtung; Fundierte Kenntnisse in einem der folgenden Bereiche: Mathematische Methoden, Analysis und Numerik in der Bildverarbeitung, den Inversen Problemen oder den Datenwissenschaften; Fähigkeit zur Integration in das Forschungsprofil am Institut und insbesondere in interdisziplinäre Kooperationsprojekte; Team-, Organisations- und Kommunikationsfähigkeit; Sehr gute Englischkenntnisse; Fähigkeit zur Lehre in deutscher Sprache (nach einer Übergangsfrist von 2 Jahren)

Duration: 6 y
Duties: Research in the field of applied mathematics with emphasis on the analysis and the numerics of problems in mathematical imaging, inverse problems and data sciences; Collaboration in interdisciplinary cooperation projects and third-party funded projects; Independent teaching of courses in the field of applied mathematics, supervision of students and holding of examinations; Participation in organizational and administrative matters
Requirements: Doctoral degree in a mathematical branch of study; Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences; Ability for integration into the department’s research profile and in particular into interdisciplinary cooperation projects; Capacity for teamwork, organizational talent and ability to communicate; Very good command of english; Ability to teach in German (after a transition period of 2 years)

Duties: Collaborate with wet lab scientist on experimental design and analysis to develop and optimize new analytic approaches using NGS technologies; Collaborate with organism engineers to plan projects, write proposals and design impactful experiments; Analyze and interpret sequencing data from multiple NGS technologies to support project success across Ginkgo; Interface with software engineers to create and implement NGS data analysis pipelines for production use; Develop, run and monitor production code for data analysis pipelines deployed to cloud-based batch/distributed processing platforms
Requirements: Bachelor’s with 4+ years of relevant experience, Master’s with 2+ years of relevant experience or PhD in a relevant field such as genetics, genomics, computational biology; Demonstrated strong skills in computational biology as evidenced by proficiency in analyzing NGS datasets (e.g., transcriptomics) with existing tools or custom pipelines/methods; Experience with many or all of the following: Python, R, Bash/Unix scripting, common bioinformatics tools (samtools, bwa, RNAseq specific tools), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, Tableau, cloud computing platforms and tools (AWS/Google Cloud), Docker, software version control (git), CI/CD

Duties: The Department of Mathematical Sciences at the University of the Virgin Islands (UVI) seeks to hire a full-time, tenure track professor at the Assistant level. We seek faculty who will inspire and mentor students at all levels while ensuring high academic standards in a nurturing and learner-centered environment in keeping with our HBCU status. The successful applicant will teach a wide range of undergraduate courses in Mathematics from foundations courses for those students who might not be ready for college level work
Requirements: PhD in any area of Mathematics, Mathematics Education, or a related field completed by August 2024

Department: Biozentrum - Center for Molecular Life Sciences
Duties: The Biozentrum of the University of Basel is one of the leading life sciences institutes in the world. Its fundamental research embraces a wide range of topics such as biochemistry, biophysics, physics of living systems, structural biology, microbiology, infection biology and immunology, cell and developmental biology, neurobiology, genetics as well as computational and systems biology
Requirements: We are looking for ambitious and highly motivated young talents from all over the world to join the Biozentrum Basel International PhD Program and our scientific community

Duties: Franklin & Marshall College invites applications for a one-year visiting assistant professor/instructor position in the Department of Mathematics beginning August 2024. The teaching specialty is open, but preference will be given to candidates with experience teaching calculus, and the potential to teach probability and statistics courses in our curriculum. The rank will be Visiting Assistant Professor or Visiting Instructor, depending on qualifications. Appointment is for nine months per year (mid August - mid May). This position is not eligible for employment visa sponsorship. Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline
Requirements: Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline

Duties: The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization
Requirements: Qualifications: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine

Duties: The successful candidate will join a strong and motivated research team led by Prof. Stephan Leyer to pursue the PhD degree in one or more of the following signal processing topics: Adiabatic boiling; Evaporation Modelling; Machine Learning in Fluid Mechanics; Characterization of Flashing Phenomenon in Adiabatic Riser pipe; CHFPAAR; Heat Transfer Optimization in Solids
Requirements: The candidate must possess a Master of Science (MsC) degree or equivalent in Mechanical Engineering, Physics or Computer Science

Duties: We offer attractive PhD candidate positions including industrial PhD positions conducting research in close cooperation with an industrial partner. The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to pursue a PhD in the general area of Computer Vision
Requirements: A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Strong background in image/signal processing or/and in computer vision; Strong programming skills in Python/Matlab/C/C; Strong mathematical background; Familiarity with deep learning frameworks such Pytorch, Tensorflow; Commitment, team working and a critical mind; Fluent written and verbal communication skills in English are mandatory

Duties: The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to carry out research in the general area of Computer Vision. Multiple positions are open
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in computer vision and/or image/signal processing focusing on one or more of the following topics: Computer vision; Pattern recognition; Deep learning/machine learning; Computer graphics; Experience with European projects (FP7/H2020), national/international projects and/or industrial project; Strong mathematical background; Experience with machine learning algorithms; Commitment, team working and a critical mind; Strong development skills in Python, Matlab or/and C++; Familiarity with deep learning frameworks such as Pytorch and Tensorflow; Fluent written and verbal communication skills in English are mandatory

Department: Astronomy
Duration: 1 y
Duties: The main objective of this project, which aims in shedding light on the formation of globular clusters and their multiple stellar generations, consists in the investigation of multiple stellar systems in dense star clusters. The candidate will analyse data obtained with the Hubble and James Webb space telescopes to estimate the incidence of binaries among the multiple stellar populations of globular clusters for which appropriate archive and proprietary data are available. Moreover, they will derive the spatial distribution of the distinct stellar populations and their internal kinematics.. He or she will interpret the results to constrain the scenarios for the formation of the globular clusters and their stellar populations, the internal dynamics, and for shedding light on the relation between between binary stars and multiple populations; fis/05 - astronomia e astrofisica
Requirements: Early stage researcher or 0-4 yrs (Post graduate)